| Previous changeset 1:81f9b44f5242 (2017-02-27) |
|
Commit message:
"planemo upload for repository https://github.com/ImmPortDB/immport-galaxy-tools/tree/master/flowtools/run_flock commit 7e94637827c3637229f3b568fa7f9d38428d6607" |
|
added:
runFlockMFI.py runFlockMFI.xml static/images/flock_logo.png test-data/input.flowtext test-data/mfi.flowmfi test-data/mfi2.flowmfi test-data/mfi3.flowmfi test-data/out1.flowclr test-data/out1.flowscore test-data/out2.flowclr test-data/out2.flowscore test-data/out3.flowclr test-data/out3.flowscore |
|
removed:
run_flock/runFlockMFI.py run_flock/runFlockMFI.xml run_flock/src/README run_flock/src/cent_adjust.c run_flock/src/find_connected.c run_flock/src/flock1.c run_flock/src/flock2.c run_flock/static/images/flock_logo.png run_flock/test-data/input.flowtext run_flock/test-data/mfi.flowmfi run_flock/test-data/mfi2.flowmfi run_flock/test-data/mfi3.flowmfi run_flock/test-data/out1.flowclr run_flock/test-data/out1.flowscore run_flock/test-data/out2.flowclr run_flock/test-data/out2.flowscore run_flock/test-data/out3.flowclr run_flock/test-data/out3.flowscore |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 runFlockMFI.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/runFlockMFI.py Fri Jul 17 09:06:54 2020 -0400 |
| [ |
| @@ -0,0 +1,116 @@ +#!/usr/bin/env python +###################################################################### +# Copyright (c) 2016 Northrop Grumman. +# All rights reserved. +###################################################################### +# version 2 + +import sys +import os +from argparse import ArgumentParser +import pandas as pd +from scipy.stats import gmean + + +def run_FLOCK(input_file, method, bins, density, output_file, mfi_file, + mfi_calc, profile): + run_command = method + " " + input_file + if bins: + run_command += " " + bins + if density: + run_command += " " + density + + os.system(run_command) + + move_command = "mv flock_results.txt " + output_file + os.system(move_command) + + # Here add some way to calculate the count and tack it on to profile file. + flockdf = pd.read_table(output_file) + if mfi_calc == "mfi": + MFIs = flockdf.groupby('Population').mean().round(decimals=2) + elif mfi_calc == "gmfi": + MFIs = flockdf.groupby('Population').agg(lambda x: gmean(list(x))).round(decimals=2) + else: + MFIs = flockdf.groupby('Population').median().round(decimals=2) + + with open(mfi_file, "w") as outf: + MFIs.to_csv(outf, sep="\t", float_format='%.0f') + + (events, columns) = flockdf.shape + fstats = {} + fstats['population'] = flockdf.iloc[:, -1:].iloc[:, 0] + fstats['population_freq'] = fstats['population'].value_counts() + fstats['population_freq_sort'] = fstats['population_freq'].sort_index() + fstats['population_per'] = (fstats['population'].value_counts(normalize=True) * 100).round(decimals=2) + fstats['population_per_sort'] = fstats['population_per'].sort_index() + fstats['population_all'] = pd.concat([fstats['population_freq_sort'], fstats['population_per_sort']], axis=1) + fstats['population_all'].columns = ['Count', 'Percentage'] + fstats['population_all']['Population_ID'] = fstats['population_all'].index + + flock_profile = pd.read_table('profile.txt') + profile_pop = flock_profile.merge(fstats['population_all'], on='Population_ID') + profile_pop.to_csv(profile, sep="\t", float_format='%.2f', index=False) + +# get_profile = "mv profile.txt " + profile +# os.system(get_profile) + return + + +if __name__ == "__main__": + parser = ArgumentParser( + prog="runFlockMFI", + description="Run Flock on text file and generate centroid file") + + parser.add_argument( + '-i', + dest="input_file", + required=True, + help="File location for the FCS file.") + + parser.add_argument( + '-m', + dest="method", + required=True, + help="Run flock1 or flock2.") + + parser.add_argument( + '-M', + dest="mfi_calc", + required=True, + help="what to calculate for centroids.") + + parser.add_argument( + '-b', + dest="bins", + required=False, + help="Number of Bins.") + + parser.add_argument( + '-d', + dest="density", + required=False, + help="Density.") + + parser.add_argument( + '-o', + dest="output_file", + required=True, + help="File location for the output file.") + + parser.add_argument( + '-c', + dest="centroids", + required=True, + help="File location for the output centroid file.") + + parser.add_argument( + '-p', + dest="profile", + required=True, + help="File location for the output profile file.") + + args = parser.parse_args() + run_FLOCK(args.input_file, args.method, args.bins, + args.density, args.output_file, args.centroids, args.mfi_calc, + args.profile) |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 runFlockMFI.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/runFlockMFI.xml Fri Jul 17 09:06:54 2020 -0400 |
| [ |
| @@ -0,0 +1,166 @@ +<tool id="run_flock" name="Run FLOCK" version="1.2+galaxy0" profile="18.01"> + <description>using a FCS file that was converted/transformed to a text file</description> + <requirements> + <requirement type="package" version="1.5.1">scipy</requirement> + <requirement type="package" version="1.0.5">pandas</requirement> + <requirement type="package" version="1.0">flock</requirement> + </requirements> + <stdio> + <exit_code range="1:" /> + </stdio> + <command><![CDATA[ + python3 '$__tool_directory__/runFlockMFI.py' -i '${input}' -m '${method}' -o '${output}' -c '${centroid}' -M '${mfi}' -p '${profile}' + #if $bins + -b $bins + #end if + #if $density + -d $density + #end if + ]]> + </command> + <inputs> + <param format="flowtext" name="input" type="data" label="Source file"/> + <param name="method" type="select" label="Method"> + <option value="flock1" selected="true">Flock Version 1</option> + <option value="flock2">Flock Version 2</option> + </param> + <param name="bins" type="integer" min="6" max="30" optional="true" value="" label="bins (6-30)"/> + <param name="density" type="integer" min="2" max="100" optional="true" value="" label="density (2-100)"/> + <param name="mfi" type="select" label="Calculate centroids using:"> + <option value="mfi" selected="true">Mean Fluorescence Intensity</option> + <option value="mdfi">Median Fluorescence Intensity</option> + <option value="gmfi">Geometric Mean Fluorescence Intensity</option> + </param> + </inputs> + <outputs> + <data format="flowclr" name="output" label="${method} with ${mfi} on ${input.name}"/> + <data format="flowmfi" name="centroid" label="${mfi} centroids from ${method} on ${input.name}"/> + <data format="flowscore" name="profile" label="Population score profiles from ${method} on ${input.name}"/> + </outputs> + <tests> + <test> + <param name="input" value="input.flowtext"/> + <param name="method" value="flock1"/> + <param name="bins" value=""/> + <param name="density" value=""/> + <param name="mfi" value="mfi"/> + <output name="output" file="out1.flowclr"/> + <output name="centroid" file="mfi.flowmfi"/> + <output name="profile" file="out1.flowscore"/> + </test> + <test> + <param name="input" value="input.flowtext"/> + <param name="method" value="flock2"/> + <param name="bins" value=""/> + <param name="density" value=""/> + <param name="mfi" value="mfi"/> + <output name="output" file="out2.flowclr"/> + <output name="centroid" file="mfi2.flowmfi"/> + <output name="profile" file="out2.flowscore"/> + </test> + <test> + <param name="input" value="input.flowtext"/> + <param name="method" value="flock1"/> + <param name="bins" value="7"/> + <param name="density" value="3"/> + <param name="mfi" value="mfi"/> + <output name="output" file="out3.flowclr"/> + <output name="centroid" file="mfi3.flowmfi"/> + <output name="profile" file="out3.flowscore"/> + </test> + </tests> + <help><![CDATA[ + This tool runs FLOCK using a FCS file that was converted to a text file. + +----- + +.. image:: ./static/images/flowtools/flock_logo.png + +FLOCK (FLOw Clustering without K) is a computational approach to flow cytometry analysis which: + + 1. Computationally determines the number of unique populations in high dimensional flow data using a rapid binning approach + 2. Can handle non-spherical hyper-shapes + 3. Maps populations across independent samples + 4. Calculates many useful summary statistics + 5. Finds the most informative parameters + 6. Reduces subjective factors in manual gating + +.. class:: warningmark + +This tool is not intended to analyze CyTOF data as is. + +----- + +**Input** + +FLOCK requires a text file, generated from a FCS file, as input. +In order to define the populations in a given dataset collection for a given set of markers, run FLOCK on a super-set of FCS file. Use the Downsample and merge tool to concatenate and/or downsample datasets, and remove, edit or rearrange markers before running FLOCK on your favorite set of markers. + +.. class:: infomark + +Tip: Make sure to keep only columns containing data from markers. + +**Output** + +*FLOCK* + +FLOCK attributes each event to a population and generates a text file. + +*Centroids* + +The centroid file is a table containing the mean, median or geometric mean fluorescent intensity values of each marker within each population defined by FLOCK, as determined by the user. + +*Population scores* + +This output is a table containing marker scores for each population. The score value is a number indicating the degree to which this population expresses each marker, as follows: + +- 1 implies negative expression +- 2 implies low expression +- 3 implies positive expression +- 4 implies highly positive expression + +----- + +**Example** + +*Input* - fluorescence intensities per marker per event:: + + Marker1 Marker2 Marker3 ... + 34 45 12 ... + 33 65 10 ... + 19 62 98 ... + 12 36 58 ... + ... ... ... ... + +*FLOCK Output* - fluorescence intensities per marker and population ID per event:: + + Marker1 Marker2 Marker3 ... Population + 34 45 12 ... 1 + 33 65 10 ... 5 + 19 62 98 ... 2 + 12 36 58 ... 1 + ... ... ... ... ... + +*Centroid file* - mean, geometric mean or median fluorescence intensity per marker per population:: + + Population Marker1 Marker2 Marker3 ... + 1 38 49 10 ... + 2 21 63 100 ... + 3 31 52 45 ... + 4 11 78 25 ... + ... ... ... ... ... + +*Population profile file*:: + + Population_ID Marker1 Marker2 Marker3 ... Count Percentage + 1 1 3 2 ... 3885 6.44 + 2 1 3 4 ... 2774 4.62 + 3 2 2 3 ... 2151 3.59 + 4 1 3 2 ... 1207 2.01 + ... ... ... ... ... ... ... + ]]> + </help> + <citations> + <citation type="doi">10.1002/cyto.b.20554</citation> + </citations> +</tool> |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/runFlockMFI.py --- a/run_flock/runFlockMFI.py Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,125 +0,0 @@ -#!/usr/bin/env python -###################################################################### -# Copyright (c) 2016 Northrop Grumman. -# All rights reserved. -###################################################################### -# version 2 -from __future__ import print_function - -import sys -import os -from argparse import ArgumentParser -import pandas as pd -from scipy.stats import gmean - - -def run_FLOCK(input_file, method, bins, density, output_file, mfi_file, - mfi_calc, profile, tool_directory): - run_command = tool_directory + "/bin/" + method + " " + input_file - if bins: - run_command += " " + bins - if density: - run_command += " " + density - - os.system(run_command) - - move_command = "mv flock_results.txt " + output_file - os.system(move_command) - - # Here add some way to calculate the count and tack it on to profile file. - flockdf = pd.read_table(output_file) - if mfi_calc == "mfi": - MFIs = flockdf.groupby('Population').mean().round(decimals=2) - elif mfi_calc == "gmfi": - MFIs = flockdf.groupby('Population').agg(lambda x: gmean(list(x))).round(decimals=2) - else: - MFIs = flockdf.groupby('Population').median().round(decimals=2) - - with open(mfi_file, "w") as outf: - MFIs.to_csv(outf, sep="\t", float_format='%.0f') - - (events, columns) = flockdf.shape - fstats = {} - fstats['population'] = flockdf.iloc[:, -1:].iloc[:, 0] - fstats['population_freq'] = fstats['population'].value_counts() - fstats['population_freq_sort'] = fstats['population_freq'].sort_index() - fstats['population_per'] = (fstats['population'].value_counts(normalize=True) * 100).round(decimals=2) - fstats['population_per_sort'] = fstats['population_per'].sort_index() - fstats['population_all'] = pd.concat([fstats['population_freq_sort'], fstats['population_per_sort']], axis=1) - fstats['population_all'].columns = ['Count', 'Percentage'] - fstats['population_all']['Population_ID'] = fstats['population_all'].index - - flock_profile = pd.read_table('profile.txt') - profile_pop = flock_profile.merge(fstats['population_all'], on='Population_ID') - profile_pop.to_csv(profile, sep="\t", float_format='%.2f', index=False) - -# get_profile = "mv profile.txt " + profile -# os.system(get_profile) - return - - -if __name__ == "__main__": - parser = ArgumentParser( - prog="runFlockMFI", - description="Run Flock on text file and generate centroid file") - - parser.add_argument( - '-i', - dest="input_file", - required=True, - help="File location for the FCS file.") - - parser.add_argument( - '-m', - dest="method", - required=True, - help="Run flock1 or flock2.") - - parser.add_argument( - '-M', - dest="mfi_calc", - required=True, - help="what to calculate for centroids.") - - parser.add_argument( - '-b', - dest="bins", - required=False, - help="Number of Bins.") - - parser.add_argument( - '-d', - dest="density", - required=False, - help="Density.") - - parser.add_argument( - '-o', - dest="output_file", - required=True, - help="File location for the output file.") - - parser.add_argument( - '-t', - dest="tool_directory", - required=True, - help="File location for the output file.") - - parser.add_argument( - '-c', - dest="centroids", - required=True, - help="File location for the output centroid file.") - - parser.add_argument( - '-p', - dest="profile", - required=True, - help="File location for the output profile file.") - - args = parser.parse_args() - run_FLOCK(args.input_file, args.method, args.bins, - args.density, args.output_file, args.centroids, args.mfi_calc, - args.profile, args.tool_directory) - - sys.exit(0) |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/runFlockMFI.xml --- a/run_flock/runFlockMFI.xml Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,158 +0,0 @@ -<tool id="run_flock" name="Run FLOCK" version="1.2"> - <description>using a FCS file that was converted/transformed to a text file.</description> - <requirements> - <requirement type="package" version="0.16.0">scipy</requirement> - <requirement type="package" version="0.17.1">pandas</requirement> - <requirement type="package" version="1.0">flock</requirement> - </requirements> - <stdio> - <exit_code range="1:" /> - </stdio> - <command><![CDATA[ - python $__tool_directory__/runFlockMFI.py -i "${input}" -o "${output}" -m "${method}" -c "${centroid}" -M "${mfi}" -p "${profile}" -t $__tool_directory__ - #if $bins - -b $bins - #end if - #if $density - -d $density - #end if - ]]> - </command> - <inputs> - <param format="flowtext" name="input" type="data" label="Source file"/> - <param name="method" type="select" label="Method"> - <option value="flock1" selected="true">Flock Version 1</option> - <option value="flock2">Flock Version 2</option> - </param> - <param name="bins" type="integer" min="6" max="30" optional="true" value="" label="bins (6-30)"/> - <param name="density" type="integer" min="2" max="100" optional="true" value="" label="density (2-100)"/> - <param name="mfi" type="select" label="Calculate centroids using:"> - <option value="mfi" selected="true">Mean Fluorescence Intensity</option> - <option value="mdfi">Median Fluorescence Intensity</option> - <option value="gmfi">Geometric Mean Fluorescence Intensity</option> - </param> - </inputs> - <outputs> - <data format="flowclr" name="output" label="${method} with ${mfi} on ${input.name}"/> - <data format="flowmfi" name="centroid" label="${mfi} centroids from ${method} on ${input.name}"/> - <data format="flowscore" name="profile" label="Population score profiles from ${method} on ${input.name}"/> - </outputs> - <tests> - <test> - <param name="input" value="input.flowtext"/> - <param name="method" value="flock1"/> - <param name="bins" value=""/> - <param name="density" value=""/> - <param name="mfi" value="mfi"/> - <output name="output" file="out1.flowclr"/> - <output name="centroid" file="mfi.flowmfi"/> - <output name="profile" file="out1.flowscore"/> - </test> - <test> - <param name="input" value="input.flowtext"/> - <param name="method" value="flock2"/> - <param name="bins" value=""/> - <param name="density" value=""/> - <param name="mfi" value="mfi"/> - <output name="output" file="out2.flowclr"/> - <output name="centroid" file="mfi2.flowmfi"/> - <output name="profile" file="out2.flowscore"/> - </test> - <test> - <param name="input" value="input.flowtext"/> - <param name="method" value="flock1"/> - <param name="bins" value="7"/> - <param name="density" value="3"/> - <param name="mfi" value="mfi"/> - <output name="output" file="out3.flowclr"/> - <output name="centroid" file="mfi3.flowmfi"/> - <output name="profile" file="out3.flowscore"/> - </test> - </tests> - <help><![CDATA[ - This tool runs FLOCK using a FCS file that was converted to a text file. - ------ - -.. image:: static/images/flowtools/flock_logo.png - -FLOCK (FLOw Clustering without K) is a computational approach to flow cytometry analysis which: - - 1. Computationally determines the number of unique populations in high dimensional flow data using a rapid binning approach - 2. Can handle non-spherical hyper-shapes - 3. Maps populations across independent samples - 4. Calculates many useful summary statistics - 5. Finds the most informative parameters - 6. Reduces subjective factors in manual gating - -.. class:: warningmark - -This tool is not intended to analyze CyTOF data as is. - ------ - -**Input** - -FLOCK requires a text file, generated from a FCS file, as input. -In order to define the populations in a given dataset collection for a given set of markers, run FLOCK on a super-set of FCS file. Use the Downsample and merge tool to concatenate and/or downsample datasets, and remove, edit or rearrange markers before running FLOCK on your favorite set of markers. - -**Output** - -*FLOCK* - -FLOCK attributes each event to a population and generates a text file. - -*Centroids* - -The centroid file is a table containing the mean, median or geometric mean fluorescent intensity values of each marker within each population defined by FLOCK, as determined by the user. - -*Population scores* - -This output is a table containing marker scores for each population. The score value is a number indicating the degree to which this population expresses each marker, as follows: - -- 1 implies negative expression -- 2 implies low expression -- 3 implies positive expression -- 4 implies highly positive expression - ------ - -**Example** - -*Input* - fluorescence intensities per marker per event:: - - Marker1 Marker2 Marker3 - 34 45 12 - 33 65 10 - 19 62 98 - 12 36 58 - -*FLOCK Output* - fluorescence intensities per marker and population ID per event:: - - Marker1 Marker2 Marker3 Population - 34 45 12 1 - 33 65 10 5 - 19 62 98 2 - 12 36 58 1 - -*Centroid file* - mean, geometric mean or median fluorescence intensity per marker per population:: - - Population Marker1 Marker2 Marker3 - 1 38 49 10 - 2 21 63 100 - 3 31 52 45 - 4 11 78 25 - -*Population profile file*:: - - Population_ID Marker1 Marker2 Marker3 Count Percentage - 1 1 3 2 3885 6.44 - 2 1 3 4 2774 4.62 - 3 2 2 3 2151 3.59 - 4 1 3 2 1207 2.01 - ]]> - </help> - <citations> - <citation type="doi">10.1002/cyto.b.20554</citation> - </citations> -</tool> |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/src/README --- a/run_flock/src/README Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,139 +0,0 @@ -This package contains R code for converting and transforming a binary -FCS file, using the FCSTrans software, and the C code for running the -flock1 and flock2 population identification software. - -src - contains the C code for flock1, flock2 and cent_adjust -bin - contains the compiled C code for flock1, flock2 and cent_adjust, - plus the R code for using the FCSTrans algorithm for file - conversion and data transformation. -doc - documentation for FCSTrans and FLOCK algorithms -example - sample data and output from FCSTrans and FLOCK - -To run this software sucessfully the code assumes the software was installed -in the /usr/local/flock directory and that R, plus the Bioconductor flowCore -module has been installed. If you use the ipconvert.sh shell script, you -may need to adjust the location of the RScript executable and the location -of the FCSTrans.R code by editing the shell script. - -############################################################################# -# Overview -############################################################################# -ImmPort-FLOCK - -FLOCK (FLOw Clustering without K), an automated population discovery tool for -multidimensional FCM data was designed to specifically take into account the -unique feature of FCM data and produce objective segregation of cell -populations. - -FLOCK parameter settings can be customized by defining Bins and Density -Threshold. The number of bins is an integer specifying the number of -equal-sized regions the data will be partitioned into on each axis. Increasing -the number of bins increases the sensitivity to detect rare populations but -may also result in single populations being divided. Density Threshold is the -cut-off value to separate the dense regions from background. It is a floating -point number that helps define population centers; increasing the threshold -may help separate major populations but could cause the algorithm to overlook -rare populations. - -############################################################################# -# Compiling C code -############################################################################# -cd bin -cc -o flock1 ../src/flock1.c ../src/find_connected.c -lm -cc -o flock2 ../src/flock2.c -lm -cc -o cent_adjust ../src/cent_adjust.c -lm - -############################################################################# -# FCSTrans -############################################################################# -A shell script named ipconvert.sh is included that runs the FCSTrans R -code for converting and transforming a binary FCS file. The output consists -of one text file containing the transformed channel intensity values and -another file containing a list of the FCS parameters. - -cd bin -/usr/local/flock/bin/ipconvert.sh ../example/data/FCS2.fcs -/usr/local/flock/bin/ipconvert.sh ../example/data/FCS3.fcs - -############################################################################# -# Running flock1 or flock2 -############################################################################# -Running the FLOCK1 and FLOCK2 algorithms generate 8 output files that have -generic file names. For this reason, it is recommended that one output -directory be created for one input file to the program. - -cd example/output/FCS2 -/usr/local/flock/bin/flock1 ../../data/FCS2.txt - -cd example/output/FCS3 -/usr/local/flock/bin/flock2 ../../data/FCS3.txt - -Files created: MFI.txt, percentage.txt, population_id.txt, profile.txt, - flock_results.txt, coordinates.txt, population_center.txt - and percentage.txt - -Usage Information for FLOCK1 ----------------------------------------------------------------------------- -basic mode: flock1 fcs.txt -advanced_ mode: flock1 fcs.txt num_bin density_index max_num_pop - -Usage Information for FLOCK2 ----------------------------------------------------------------------------- -basic mode: flock data_file -advanced mode 0 (specify maximum # of pops): flock data_file max_num_pop -advanced mode 1 (without # of pops): flock data_file num_bin density_index -advanced mode 2 (specify # of pops): flock data_file num_bin density_index - number_of_pop -advanced mode 3 (specify both # of pops): flock data_file num_bin density_index - number_of_pop max_num_pop - -FLOCK Output Files ----------------------------------------------------------------------------- -coordinates.txt: - Output is the intensity values for each marker and event - -flock_results.txt: - A combination of the input file, event identifiers and population - identifiers. - -MFI.txt: - Provides the mean fluorescence intensity for each population for each - marker/parameter - -population_id.txt: - Contains population identifiers (i.e, values from [1 to n] where n is - the population assigned to the corresponding events in the input data - file, one identifier per row.) - -population_center.txt: - Contains the centroid coordinates for each identified population - -percentage.txt: - Includes the population identifiers and percentage of events within that - population (relative to the whole data file) - -profile.txt: - Displays an expression profile, where the approximate expression level - for each marker is assigned a numeric value from 1-4, for each identified - population - -fcs_properties.txt: - Contains the number of events, number of populations, and number of - markers, as well as the algorithm parameters used in the analysis - -############################################################################# -# Running cent_adjust -############################################################################# -Running the cent_adjust algorithm generates 4 output files that have -generic file names. For this reason, it is recommened that one output -directory be created for one input file to the program. - -mkdir example/output/FCS2/cent_adjust -cd example/output/FCS2/cent_adjust -/usr/local/flock/bin/cent_adjust ../population_center.txt ../coordinates.txt - -Files created: MFI.txt, percentage.txt, population_id.txt and profile.txt - -Usage Information for cent_adjust ----------------------------------------------------------------------------- -basic mode: cent_adjust input_center input_data_file |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/src/cent_adjust.c --- a/run_flock/src/cent_adjust.c Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| b'@@ -1,1009 +0,0 @@\n-/////////////////////////////////////////////////////////\n-// Cent_adjust version number and modification history\n-// ImmPort BISC project\n-// Author: Yu "Max" Qian\n-// v1.01: Oct 16, 2009\n-// Line 899 of the main function:\n-// Changed kmean_term=1 to kmean_term=2\n-//////////////////////////////////////////////////////////\n-\n-\n-#include <time.h>\n-#include <stdio.h>\n-#include <stdlib.h>\n-#include <math.h>\n-#include <string.h>\n-\n-#define DEBUG 0\n-#define LINE_LEN 1024\n-#define FILE_NAME_LEN 128\n-#define PARA_NAME_LEN 64\n-#define MAX_VALUE 1000000000\n-#define CUBE 0\n-\n-\n-void getctrfileinfo(FILE *f_src_ctr, long *num_clust)\n-{\n-\tint ch=\'\\n\';\n-\tint prev=\'\\n\';\n-\tlong num_rows=0;\n-\n-\twhile ((ch = fgetc(f_src_ctr))!= EOF )\n- {\n-\t\tif (ch == \'\\n\')\n- {\n-\t\t\t++num_rows;\n- }\n-\t\tprev = ch;\n- }\n-\tif (prev!=\'\\n\')\n-\t\t++num_rows;\n-\t\n-\t*num_clust=num_rows;\n-\t//printf("center file has %ld rows\\n", *num_clust);\n-}\n-\n-/************************************* Read basic info of the source file **************************************/\n-void getfileinfo(FILE *f_src, long *file_Len, long *num_dm, char *name_string, int *time_ID)\n-{\n-\tchar src[LINE_LEN];\n-\tchar current_name[64];\n-\tchar prv;\n-\n-\tlong num_rows=0;\n-\tlong num_columns=0;\n-\tint ch=\'\\n\';\n-\tint prev=\'\\n\';\n-\tlong time_pos=0;\n-\tlong i=0;\n-\tlong j=0;\n-\n-\t\n-\n-\tsrc[0]=\'\\0\';\n-\tfgets(src, LINE_LEN, f_src);\n-\n-\tname_string[0]=\'\\0\';\n-\tcurrent_name[0]=\'\\0\';\n-\tprv=\'\\n\';\n-\n-\twhile ((src[i]==\' \') || (src[i]==\'\\t\')) //skip space and tab characters\n-\t\ti++;\n-\n-\twhile ((src[i]!=\'\\r\') && (src[i]!=\'\\n\')) //repeat until the end of the line\n-\t{\n-\t\tcurrent_name[j]=src[i];\n-\t\t\n-\t\tif ((src[i]==\'\\t\') && (prv!=\'\\t\')) //a complete word\n-\t\t{\n-\t\t\tcurrent_name[j]=\'\\0\';\n-\t\t\t\n- /* \n- * Commented out John Campbell, June 10 2010\n- * We no longer want to automatically remove Time column.\n- * This column should have been removed by column selection\n- if (0!=strcmp(current_name,"Time"))\n- {\n- num_columns++; //num_columns does not inlcude the column of Time\n- time_pos++;\n- strcat(name_string,current_name); \n- strcat(name_string,"\\t");\n- }\n- else\n- {\n- *time_ID=time_pos;\n- }\n- */\n-\n- num_columns++;\n- strcat(name_string,current_name);\n- strcat(name_string,"\\t");\n-\n-\t\t current_name[0]=\'\\0\';\n-\t\t j=0;\t\t\t\n-\t\t}\t\t\n-\t\t\n-\t\tif ((src[i]==\'\\t\') && (prv==\'\\t\')) //a duplicate tab or space\n-\t\t{\n-\t\t\tcurrent_name[0]=\'\\0\';\n-\t\t\tj=0;\n-\t\t}\n-\t\t\n- if (src[i]!=\'\\t\')\n-\t j++;\n-\n-\t\t\n-\t\tprv=src[i];\n-\t\ti++;\n-\t}\n-\t\n-\tif (prv!=\'\\t\') //the last one hasn\'t been retrieved\n-\t{\n-\t\tcurrent_name[j]=\'\\0\';\n- /* \n- * Commented out John Campbell, June 10 2010\n- * We no longer want to automatically remove Time column.\n- * This column should have been removed by column selection\n- if (0!=strcmp(current_name,"Time"))\n- {\n- num_columns++;\n- strcat(name_string,current_name);\n- time_pos++;\n- }\n- else\n- {\n- *time_ID=time_pos;\n- }\n- */\n-\n- num_columns++;\n- strcat(name_string,current_name);\n-\t}\n-\n-\tif (DEBUG==1)\n-\t{\n-\t\tprintf("time_ID is %d\\n",*time_ID);\n-\t\tprintf("name_string is %s\\n",name_string);\n-\t}\n-\n-\t// # of rows\n-\n-\twhile ((ch = fgetc(f_src))!= EOF )\n- {\n-\t\tif (ch == \'\\n\')\n- {\n-\t\t\t++num_rows;\n- }\n-\t\tprev = ch;\n- }\n-\tif (prev!=\'\\n\')\n-\t\t++num_rows;\n-\t\n-\t*file_Len=num_rows;\n-\t*num_dm=num_columns; \n-\n-\t//printf("original file size is %ld; number of dimensions is %ld\\n", *file_Len, *num_dm);\n-}\n-\n-\n-\n-///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////\n-/************************************* Read the source file into uncomp_data **************************************/\n-void readsource(FILE *f_src, lo'..b'0;\n-\tlong j=0;\n-\n-\tlong *cluster_id;\n-\tlong *IDmapping; //this is to keep the original populationID of the center.txt\n-\n-\tdouble kmean_term=0;\n-\t\n-\tdouble **cluster_center;\n-\tdouble **orig_data;\n-\tdouble **normalized_data;\n-\t\t\n-/*\n-\t_strtime( tmpbuf );\n- printf( "Starting time:\\t\\t\\t\\t%s\\n", tmpbuf );\n-\t_strdate( tmpbuf );\n- printf( "Starting date:\\t\\t\\t\\t%s\\n", tmpbuf );\n-*/\n-\n-\tif (argc!=3)\n-\t{\n-\t\tprintf("usage: cent_adjust input_center input_data_file\\n"); \n-\t\texit(0);\n-\t}\t\n-\t\n-\n-\tf_src_ctr=fopen(argv[1],"r");\t\n-\t\n-\t//read source data\n-\tf_src=fopen(argv[2],"r");\n-\t\n-\tgetfileinfo(f_src, &file_Len, &num_dm, name_string, &time_id); //get the filelength, number of dimensions, and num/name of parameters\n-\n-\trewind(f_src); //reset data file pointer\t\n-\n-\torig_data = (double **)malloc(sizeof(double*)*file_Len);\n-\tmemset(orig_data,0,sizeof(double*)*file_Len);\n-\tfor (i=0;i<file_Len;i++)\n-\t{\n-\t\torig_data[i]=(double *)malloc(sizeof(double)*num_dm);\n-\t\tmemset(orig_data[i],0,sizeof(double)*num_dm);\n-\t}\n-\t\n-\treadsource(f_src, file_Len, num_dm, orig_data, time_id); //read the data;\n-\t\n-\tfclose(f_src);\n-\t/////////////////////////////////////////////////////////////////////////////\n-\tgetctrfileinfo(f_src_ctr, &num_clust); //get how many populations\n-\tnorm_used=0;\n-\tdist_used=0;\n-\tkmean_term=2; //modified on Oct 16, 2009: changed kmean_term=1 to kmean_term=2\n-\n-\trewind(f_src_ctr); //reset center file pointer\n-\n-\t//read population center\n-\tcluster_center=(double **)malloc(sizeof(double*)*num_clust);\n-\tmemset(cluster_center,0,sizeof(double*)*num_clust);\n-\tfor (i=0;i<num_clust;i++)\n-\t{\n-\t\tcluster_center[i]=(double*)malloc(sizeof(double)*num_dm);\n-\t\tmemset(cluster_center[i],0,sizeof(double)*num_dm);\n-\t}\n-\tfor (i=0;i<num_clust;i++)\n-\t\tfor (j=0;j<num_dm;j++)\n-\t\t\tcluster_center[i][j]=0;\n-\n-\tIDmapping=(long *)malloc(sizeof(long)*num_clust);\n-\tmemset(IDmapping,0,sizeof(long)*num_clust);\n-\n-\treadcenter(f_src_ctr,num_clust,num_dm,cluster_center,IDmapping); //read population center\n- fclose(f_src_ctr);\n-\n-\t/////////////////////////////////////////////////////////////////////////////\n-\tnormalized_data=(double **)malloc(sizeof(double*)*file_Len);\n-\tmemset(normalized_data,0,sizeof(double*)*file_Len);\n-\tfor (i=0;i<file_Len;i++)\n-\t{\n-\t\tnormalized_data[i]=(double *)malloc(sizeof(double)*num_dm);\n-\t\tmemset(normalized_data[i],0,sizeof(double)*num_dm);\n-\t}\n-\t\n-\ttran(orig_data, file_Len, num_dm, norm_used, normalized_data);\n-\t/************************************************* Compute number of clusters *************************************************/\n-\t\n-\tcluster_id=(long*)malloc(sizeof(long)*file_Len);\n-\tmemset(cluster_id,0,sizeof(long)*file_Len);\n-\n-\tassign_event(normalized_data,num_clust,dist_used,kmean_term,file_Len,num_dm,cluster_id,cluster_center,0);\n-\n-\t\n-\t//show(orig_data,cluster_id,file_Len,num_clust,num_dm,show_data,num_disp,name_string); \n-\tshow(orig_data, cluster_id, file_Len, num_clust, num_dm, name_string, IDmapping);\n-\n-\tf_cid=fopen("population_id.txt","w");\n-\n-\tfor (i=0;i<file_Len;i++)\n-\t\tfprintf(f_cid,"%ld\\n",IDmapping[cluster_id[i]]);\n-\t\t\n-\n-\tfclose(f_cid);\n- \n-\t//added April 16, 2009\n-\tf_mfi=fopen("MFI.txt","w");\n-\n-\tfor (i=0;i<num_clust;i++)\n-\t{\n-\t\tfprintf(f_mfi,"%ld\\t",IDmapping[i]);\n-\n-\t\tfor (j=0;j<num_dm;j++)\n-\t\t{\n-\t\t\tif (j==num_dm-1)\n-\t\t\t\tfprintf(f_mfi,"%.0f\\n",cluster_center[i][j]);\n-\t\t\telse\n-\t\t\t\tfprintf(f_mfi,"%.0f\\t",cluster_center[i][j]);\n-\t\t}\n-\t}\n-\tfclose(f_mfi);\n-\n-\t//ended April 16, 2009\n-\n-\tfor (i=0;i<num_clust;i++)\n-\t\tfree(cluster_center[i]);\n-\tfree(cluster_center);\n-\t\t\n-\n-\t/********************************************** Release memory ******************************************/\n- \n-\tfor (i=0;i<file_Len;i++)\n-\t{\n-\t\tfree(orig_data[i]);\t\t\n-\t\tfree(normalized_data[i]);\n-\t}\n-\t\n-\tfree(orig_data);\n-\tfree(normalized_data);\n-\tfree(cluster_id);\n-\tfree(IDmapping);\n-\n-/*\n-\t_strtime( tmpbuf );\n- printf( "Ending time:\\t\\t\\t\\t%s\\n", tmpbuf );\n-\t_strdate( tmpbuf );\n- printf( "Ending date:\\t\\t\\t\\t%s\\n", tmpbuf );\n-*/\n-\n-}\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/src/find_connected.c --- a/run_flock/src/find_connected.c Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| @@ -1,176 +0,0 @@ -#include <stdlib.h> -#include <stdio.h> -#include <string.h> -#include <assert.h> - -//static const char *rcsid = "$Id: find_connected.c,v 1.1 2008/09/05 21:54:40 rpl Exp $"; - -int find_connected(int **G, int num_dense_grids, int ndim, int *grid_clusterID); -void depth_first(int startnode); - -void bail(const char *); /* exits via abort */ -static void check_clusters(int *gcID, int ndense); -static void merge_cluster(int from, int into); - - -/* Vars that will not change througout the depth-first recursion. We - store them here to avoid endless replication on the stack. */ -static int **Gr=0; -static int *gcID = 0; /* grid cluster IDs */ -static int *cluster_count=0; /* count of nodes per cluster */ -static int ndense=0; -static int ndim=0; -/* cid changes between depth-first searches, but is constant within a - single search, so it goes here. */ -static int cid=0; - -/* Find connected components in the graph of neighboring grids defined in G. - * - * Output: - * - * grid_clusterID[] -- cluster to which each dense grid was assigned - * return value -- number of clusters assigned. - */ -int find_connected(int **G, int n_dense_grids, int num_dm, int *grid_clusterID) -{ - int nclust=0; /* number of clusters found */ - int i; - int *subfac; - int subval=0,nempty=0; - int clustid=0; - - size_t sz = n_dense_grids*sizeof(int); - cluster_count = malloc(sz); - if(!cluster_count) - bail("find_connected: Unable to allocate %zd bytes.\n"); - memset(cluster_count,0,sz); - - /* set up the statics that will be used in the DFS */ - Gr=G; - gcID = grid_clusterID; - ndense = n_dense_grids; - ndim = num_dm; - - - for(i=0;i<ndense;++i) - grid_clusterID[i] = -1; - - for(i=0;i<ndense;++i) { - if(grid_clusterID[i] < 0) { /* grid hasn't been assigned yet */ - cid = nclust++; - depth_first(i); - } - } - -#ifndef NDEBUG - check_clusters(gcID,ndense); -#endif - - /* At this point we probably have some clusters that are empty due to merging. - We want to compact the cluster numbering to eliminate the empty clusters. */ - - subfac = malloc(sz); - if(!subfac) - bail("find_connected: Unable to allocate %zd bytes.\n"); - subval=0; - nempty=0; - - /* cluster #i needs to have its ID decremented by 1 for each empty cluster with - ID < i. Precaclulate the decrements in this loop: */ - for(i=0;i<nclust;++i) { - //clustid = grid_clusterID[i]; - if(cluster_count[i] == 0) { - subval++; - nempty++; - } - subfac[i] = subval; - } - - /* Now apply the decrements to all of the dense grids */ - for(i=0;i<ndense;++i) { - clustid = grid_clusterID[i]; - grid_clusterID[i] -= subfac[clustid]; - } - -#ifndef NDEBUG - // check_clusters(gcID,ndense); -#endif - - /* correct the number of clusters found */ - nclust -= nempty; - - return nclust; -} - - -/* Do a depth-first search for a single connected component in graph - * G. Start from node, tag the nodes found with cid, and record - * the tags in grid_clusterID. Also, record the node count in - * cluster_count. If we find a node that has already been assigned to - * a cluster, that means we're merging two clusters, so zero out the - * old cid's node count. - * - * Note that our graph is constructed as a DAG, so we can be - * guaranteed to terminate without checking for cycles. - * - * Note2: this function can potentially recurse to depth = ndense. - * Plan stack size accordingly. - * - * Output: - * - * grid_clusterID[] -- array where we tag the nodes. - * cluster_count[] -- count of the number of nodes per cluster. - */ - -void depth_first(int node) -{ - int i; - - if(gcID[node] == cid) // we're guaranteed no cycles, but it is possible to reach a node - return; // through two different paths in the same cluster. This early - // return saves us some unneeded work. - - /* Check to see if we are merging a cluster */ - if(gcID[node] >= 0) { - /* We are, so zero the count for the old cluster. */ - cluster_count[ gcID[node] ] = 0; - merge_cluster(gcID[node], cid); - return; - } - - /* Update for this node */ - gcID[node] = cid; - cluster_count[cid]++; - - /* Recursively search the child nodes */ - for(i=0; i<ndim; ++i) - if(Gr[node][i] >= 0) /* This is a child node */ - depth_first(Gr[node][i]); -} - -void bail(const char *msg) -{ - fprintf(stderr,"%s",msg); - abort(); -} - - -static void check_clusters(int *gcID, int ndense) -{ - int i; - - for(i=0; i<ndense; ++i) - if(gcID[i] < 0) { - fprintf(stderr,"faulty cluster id at i= %d\n",i); - abort(); - } -} - -static void merge_cluster(int from, int into) -{ - int i; - - for(i=0; i<ndense; ++i) - if(gcID[i] == from) - gcID[i] = into; -} |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/src/flock1.c --- a/run_flock/src/flock1.c Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| b'@@ -1,2400 +0,0 @@\n-/*****************************************************************************\n-\t\n-\tFLOCK: FLOw cytometry Clustering without K (Named by: Jamie A. Lee and Richard H. Scheuermann) \n-\t\n-\tAuthor: (Max) Yu Qian, Ph.D.\n-\t\n-\tCopyright: Scheuermann Lab, Dept. of Pathology, UTSW\n-\t\n-\tDevelopment: November 2005 ~ Forever\n-\n-\tAlgorithm Status: May 2007: Release 1.0\n-\n-\tUsage: flock data_file\n-\t\t Note: the input file format must be channel values and the delimiter between two values must be a tab.\n-\n- Changes made July 23, 2010: made errors to STDERR\n-\tChanges made Nov 4, 2010: added one more error (select_num_bin<min_grid) || (select_num_bin>max_grid) to STDERR;\n-\t MAX_GRID changed to 50 as larger than 50 seems not useful for any file we have got\n-\t\n-******************************************************************************/\n-#include <time.h>\n-#include <stdio.h>\n-#include <stdlib.h>\n-#include <math.h>\n-#include <string.h>\n-#include <sys/stat.h>\n-#include <unistd.h>\n-#include <assert.h>\n-\n-\n-#define DEBUG 0\n-#define LINE_LEN 1024\n-#define FILE_NAME_LEN 128\n-#define PARA_NAME_LEN 64\n-#define MAX_VALUE 1000000000\n-#define MIN_GRID 6\n-#define MAX_GRID 50\n-\n-#define NORM_METHOD 2 //2 if z-score; 0 if no normalization; 1 if min-max \n-#define KMEANS_TERM 100\n-//#define MAX_NUM_POP 30\n-\n-\n-int find_connected(int **G, int num_dense_grids, int ndim, int *grid_clusterID);\n-\n-/************* Read basic info of the source file ****************************/\n-void getfileinfo(FILE *f_src, int *file_Len, int *num_dm, char *name_string, int *time_ID)\n-{\n- char src[LINE_LEN];\n- char current_name[64];\n- char prv;\n-\n- int num_rows=0;\n- int num_columns=0;\n- int ch=\'\\n\';\n- int prev=\'\\n\';\n- int time_pos=0;\n- int i=0;\n- int j=0;\n- int sw=0;\n-\n- src[0]=\'\\0\';\n- fgets(src, LINE_LEN, f_src);\n-\n- if ((src[0]==\'F\') && (src[1]==\'C\') && (src[2]==\'S\'))\n-\t{\n-\t\tfprintf(stderr,"the correct input format is a tab-delimited txt file, instead of FCS file.\\n");\n-\t\tabort();\n-\t}\n-\n- name_string[0]=\'\\0\';\n- current_name[0]=\'\\0\';\n- prv=\'\\n\';\n-\n- // skip space and tab characters\n- while ((src[i]==\' \') || (src[i]==\'\\t\'))\n- i++;\n-\n- // repeat until the end of line is reached\n- while ((src[i]!=\'\\0\') && (src[i]!=\'\\n\') && (src[i]!=\'\\r\'))\n- {\n- current_name[j]=src[i];\n-\t\t\n- if ((src[i]==\'\\t\') && (prv!=\'\\t\')) //a complete word\n- {\n- current_name[j]=\'\\0\';\n-\t\t\t\n- if (0!=strcmp(current_name,"Time"))\n- {\n- num_columns++; //num_columns does not inlcude the column of Time\n- time_pos++;\n- if (sw) {\n- strcat(name_string,"\\t");\n- }\n- strcat(name_string,current_name); \n- sw = 1;\n- }\n- else\n- {\n- *time_ID=time_pos;\n- }\n- \n- \n- current_name[0]=\'\\0\';\n- j=0;\t\t\t\n- }\t\t\n-\t\t\n- if ((src[i]==\'\\t\') && (prv==\'\\t\')) //a duplicate tab or space\n- {\n- current_name[0]=\'\\0\';\n- j=0;\n- }\n-\t\t\n- if (src[i]!=\'\\t\')\n- j++;\n-\t\t\n- prv=src[i];\n- i++;\n- }\n-\t\n- if (prv!=\'\\t\') //the last one hasn\'t been retrieved\n- {\n- current_name[j]=\'\\0\';\n- \n- if (0!=strcmp(current_name,"Time"))\n- {\n- num_columns++;\n- strcat(name_string,"\\t");\n- strcat(name_string,current_name);\n- time_pos++;\n- }\n- else\n- {\n- *time_ID=time_pos;\n- }\n- \n- \n- }\n- if (DEBUG==1)\n- {\n- printf("time_ID is %d\\n",*time_ID);\n- printf("name_string is %s\\n",name_string);\n- }\n-\n- //start computing # of rows\n-\n- while ((ch = fgetc(f_src))!= EOF )\n- {\n- if (ch == \'\\n\')\n- {\n- ++num_rows;\n- }\n- prev = ch;\n- }\n- if (prev!=\'\\n\')\n- ++num_rows;\n-\n- //added on July 23, 2010\n- if (num_rows<50)\n- {\n- fprintf(stderr,"Number of events '..b'lation_ID=(int*)malloc(sizeof(int)*file_Len);\n- memset(all_population_ID,0,sizeof(int)*file_Len);\n-\n- kmeans(normalized_data, num_population, KMEANS_TERM, file_Len, num_dm, all_population_ID, population_center);\n- show(input_data, all_population_ID, file_Len, num_population, num_dm, para_name_string);\n-\n- ID2Center_all(input_data,file_Len,num_dm,num_population,all_population_ID,population_center);\n- \n-\n- f_cid=fopen("population_id.txt","w");\n- f_ctr=fopen("population_center.txt","w");\n- f_out=fopen("coordinates.txt","w");\n- f_results=fopen("flock_results.txt","w");\n-\n-/*\n- f_parameters=fopen("parameters.txt","w");\n- fprintf(f_parameters,"Number_of_Bins\\t%d\\n",num_bin);\n- fprintf(f_parameters,"Density\\t%f\\n",aver_index);\n- fclose(f_parameters);\n-*/\n-\n- for (i=0;i<file_Len;i++)\n-\tfprintf(f_cid,"%d\\n",all_population_ID[i]+1); //all_population_ID[i] changed to all_population_ID[i]+1 to start from 1 instead of 0: April 16, 2009\n-\n- /*\n- * New to check for min/max to add to parameters.txt\n- *\n- */\n- \n- fprintf(f_out,"%s\\n",para_name_string);\n- //fprintf(f_results,"%s\\tEvent\\tPopulation\\n",para_name_string);\n- fprintf(f_results,"%s\\tPopulation\\n",para_name_string);\n- for (i=0;i<file_Len;i++)\n- {\n-\tfor (j=0;j<num_dm;j++)\n-\t{\n-\t\tif (input_data[i][j] < min) {\n-\t\t\tmin = (int)input_data[i][j];\n-\t\t}\n-\t\tif (input_data[i][j] > max) {\n-\t\t\tmax = (int)input_data[i][j];\n-\t\t}\n-\t\tif (j==num_dm-1)\n-\t\t{\n-\t\t\tfprintf(f_out,"%d\\n",(int)input_data[i][j]);\n-\t\t\tfprintf(f_results,"%d\\t",(int)input_data[i][j]);\n-\t\t}\n-\t\telse\n-\t\t{\n-\t\t\tfprintf(f_out,"%d\\t",(int)input_data[i][j]);\n-\t\t\tfprintf(f_results,"%d\\t",(int)input_data[i][j]);\n-\t\t}\n-\t}\n-\t//fprintf(f_results,"%d\\t",i + 1);\n-\tfprintf(f_results,"%d\\n",all_population_ID[i]+1); //all_population_ID[i] changed to all_population_ID[i]+1 to start from 1 instead of 0: April 16, 2009\n- }\n-\n-/*\n- f_parameters=fopen("parameters.txt","w");\n- fprintf(f_parameters,"Number_of_Bins\\t%d\\n",num_bin);\n- fprintf(f_parameters,"Density\\t%d\\n",den_t_event);\n- fprintf(f_parameters,"Min\\t%d\\n",min);\n- fprintf(f_parameters,"Max\\t%d\\n",max);\n- fclose(f_parameters);\n-*/\n-\n- f_properties=fopen("fcs.properties","w");\n- fprintf(f_properties,"Bins=%d\\n",num_bin);\n- fprintf(f_properties,"Density=%d\\n",den_t_event);\n- fprintf(f_properties,"Min=%d\\n",min);\n- fprintf(f_properties,"Max=%d\\n",max);\n- fprintf(f_properties,"Populations=%d\\n",num_population);\n- fprintf(f_properties,"Events=%d\\n",file_Len);\n- fprintf(f_properties,"Markers=%d\\n",num_dm);\n- fclose(f_properties);\n-\n-\n- for (i=0;i<num_population;i++) {\n-\t/* Add if we want to include population id in the output\n-\t*/\n-\tfprintf(f_ctr,"%d\\t",i+1); //i changed to i+1 to start from 1 instead of 0: April 16, 2009\n-\n-\tfor (j=0;j<num_dm;j++) {\n-\t\tif (j==num_dm-1)\n-\t\t\tfprintf(f_ctr,"%.0f\\n",population_center[i][j]);\n-\t\telse\n-\t\t\tfprintf(f_ctr,"%.0f\\t",population_center[i][j]);\n-\t}\n- }\n-\n- \t//added April 16, 2009\n-\tf_mfi=fopen("MFI.txt","w");\n-\n-\tfor (i=0;i<num_population;i++)\n-\t{\n-\t\tfprintf(f_mfi,"%d\\t",i+1);\n-\n-\t\tfor (j=0;j<num_dm;j++)\n-\t\t{\n-\t\t\tif (j==num_dm-1)\n-\t\t\t\tfprintf(f_mfi,"%.0f\\n",population_center[i][j]);\n-\t\t\telse\n-\t\t\t\tfprintf(f_mfi,"%.0f\\t",population_center[i][j]);\n-\t\t}\n-\t}\n-\tfclose(f_mfi);\n-\n-\t//ended April 16, 2009\n-\t\t\t\n- fclose(f_cid);\n- fclose(f_ctr);\n- fclose(f_out);\n- fclose(f_results);\n-\n-\n- for (i=0;i<num_population;i++)\n- {\n-\tfree(population_center[i]);\n- }\n- free(population_center);\n- \n-\n- for (i=0;i<file_Len;i++)\n- free(normalized_data[i]);\n- free(normalized_data);\t\n-\t\n- free(grid_populationID);\n-\n- free(cluster_populationID);\n- free(grid_clusterID);\n- free(cluster_ID);\n-\n- for (i=0;i<file_Len;i++)\n- free(input_data[i]);\n- free(input_data);\n-\n- free(grid_ID);\n- free(population_ID);\n- free(all_population_ID);\n- free(eventID_To_denseventID);\n-\t\t\n- ///////////////////////////////////////////////////////////\n- printf("Ending time:\\t\\t\\t\\t");\n- fflush(stdout);\n- system("/bin/date");\n-\n- return 0;\n-\n-}\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/src/flock2.c --- a/run_flock/src/flock2.c Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| [ |
| b"@@ -1,3405 +0,0 @@\n-///////////\n-// Changes made:\n-// 1. Added another parameter: number of populations\n-// 2. Added a hierarchical merging step based on density change between centroids of two hyper-regions\n-// 3. Picked the longest dimensions between the population centroids to judge whether the two parts should be merged\n-// 4. Removed checking time parameter\n-// 5. Output error to stderr\n-// 6. Fixed the bug of density threshold always = 3\n-// 7. Added another error (select_num_bin<min_grid) || (select_num_bin>max_grid) to STDERR\n-// 8. Fixed a bug for 2D data by using K=e*K\n-// 9. Added some header files, may not be necessary\n-// 10. Added a lower bound (at least two) for number of populations\n-/***************************************************************************************************************************************\n-\t\n-\tFLOCK: FLOw cytometry Clustering without K (Named by: Jamie A. Lee and Richard H. Scheuermann) \n-\t\n-\tAuthor: (Max) Yu Qian, Ph.D.\n-\t\n-\tCopyright: Scheuermann Lab, Dept. of Pathology, UTSW\n-\t\n-\tDevelopment: November 2005 ~ Forever\n-\n-\tStatus: July 2010: Release 2.0\n-\n-\tUsage: flock data_file\n-\t\t Note: the input file format must be channel values and the delimiter between two values must be a tab.\n-\n-\n- \t\n-****************************************************************************************************************************************/\n-\n-#include <time.h>\n-#include <stdio.h>\n-#include <stdlib.h>\n-#include <math.h>\n-#include <string.h>\n-#include <sys/stat.h>\n-#include <unistd.h>\n-#include <assert.h>\n-\n-\n-\n-#define DEBUG 0\n-#define LINE_LEN 1024\n-#define FILE_NAME_LEN 128\n-#define PARA_NAME_LEN 64\n-#define MAX_VALUE 1000000000\n-#define MIN_GRID 6\n-#define MAX_GRID 50\n-#define E_T 1.0\n-\n-#define NORM_METHOD 2 //2 if z-score; 0 if no normalization; 1 if min-max \n-#define KMEANS_TERM 10 \n-#define MAX_POP_NUM 128\n-\n-#ifndef max\n- #define max( a, b ) ( ((a) > (b)) ? (a) : (b) )\n-#endif\n-\n-#ifndef min\n- #define min( a, b ) ( ((a) < (b)) ? (a) : (b) )\n-#endif\n-\n-static long **Gr=0;\n-static long *gcID = 0; /* grid cluster IDs */\n-static long *cluster_count=0; /* count of nodes per cluster */\n-static long ndense=0;\n-static long ndim=0;\n-/* cid changes between depth-first searches, but is constant within a\n- single search, so it goes here. */\n-static long cid=0;\n-/* Do a depth-first search for a single connected component in graph\n- * G. Start from node, tag the nodes found with cid, and record\n- * the tags in grid_clusterID. Also, record the node count in\n- * cluster_count. If we find a node that has already been assigned to\n- * a cluster, that means we're merging two clusters, so zero out the\n- * old cid's node count.\n- *\n- * Note that our graph is constructed as a DAG, so we can be\n- * guaranteed to terminate without checking for cycles. \n- *\n- * Note2: this function can potentially recurse to depth = ndense.\n- * Plan stack size accordingly. \n- *\n- * Output:\n- *\n- * grid_clusterID[] -- array where we tag the nodes.\n- * cluster_count[] -- count of the number of nodes per cluster.\n- */\n-static void merge_cluster(long from, long into)\n-{\n- int i;\n-\n- for(i=0; i<ndense; ++i)\n- if(gcID[i] == from)\n- gcID[i] = into;\n-}\n- \n-void depth_first(long node)\n-{\n- long i;\n-\n- if(gcID[node] == cid) // we're guaranteed no cycles, but it is possible to reach a node \n- return; // through two different paths in the same cluster. This early\n- // return saves us some unneeded work.\n-\n- /* Check to see if we are merging a cluster */\n- if(gcID[node] >= 0) {\n- /* We are, so zero the count for the old cluster. */\n- cluster_count[ gcID[node] ] = 0; \n- merge_cluster(gcID[node], cid);\n- return;\n- }\n-\n- /* Update for this node */\n- gcID[node] = cid;\n- cluster_count[cid]++;\n-\n- /* Recursively search the child nodes */\n- for(i=0; i<ndim; ++i)\n- if(Gr[node][i] >= 0) /* This is a child node */\n"..b'ring);\n-\n- ID2Center_all(input_data,file_Len,num_dm,num_real_pop,all_population_ID,new_population_center);\n- \n-\n- f_cid=fopen("population_id.txt","w");\n- f_ctr=fopen("population_center.txt","w");\n- f_out=fopen("coordinates.txt","w");\n- f_results=fopen("flock_results.txt","w");\n-\n-/*\n- f_parameters=fopen("parameters.txt","w");\n- fprintf(f_parameters,"Number_of_Bins\\t%d\\n",num_bin);\n- fprintf(f_parameters,"Density\\t%f\\n",aver_index);\n- fclose(f_parameters);\n-*/\n-\n- for (i=0;i<file_Len;i++)\n-\tfprintf(f_cid,"%ld\\n",all_population_ID[i]+1); //all_population_ID[i] changed to all_population_ID[i]+1 to start from 1 instead of 0: April 16, 2009\n-\n- /*\n- * New to check for min/max to add to parameters.txt\n- *\n- */\n- \n- fprintf(f_out,"%s\\n",para_name_string);\n- //fprintf(f_results,"%s\\tEvent\\tPopulation\\n",para_name_string);\n- fprintf(f_results,"%s\\tPopulation\\n",para_name_string);\n- for (i=0;i<file_Len;i++)\n- {\n-\tfor (j=0;j<num_dm;j++)\n-\t{\n-\t\tif (input_data[i][j] < min) {\n-\t\t\tmin = (int)input_data[i][j];\n-\t\t}\n-\t\tif (input_data[i][j] > max) {\n-\t\t\tmax = (int)input_data[i][j];\n-\t\t}\n-\t\tif (j==num_dm-1)\n-\t\t{\n-\t\t\tfprintf(f_out,"%d\\n",(int)input_data[i][j]);\n-\t\t\tfprintf(f_results,"%d\\t",(int)input_data[i][j]);\n-\t\t}\n-\t\telse\n-\t\t{\n-\t\t\tfprintf(f_out,"%d\\t",(int)input_data[i][j]);\n-\t\t\tfprintf(f_results,"%d\\t",(int)input_data[i][j]);\n-\t\t}\n-\t}\n-\t//fprintf(f_results,"%ld\\t",i + 1);\n-\tfprintf(f_results,"%ld\\n",all_population_ID[i]+1); //all_population_ID[i] changed to all_population_ID[i]+1 to start from 1 instead of 0: April 16, 2009\n- }\n-\n-/*\n- f_parameters=fopen("parameters.txt","w");\n- fprintf(f_parameters,"Number_of_Bins\\t%ld\\n",num_bin);\n- fprintf(f_parameters,"Density\\t%d\\n",den_t_event);\n- fprintf(f_parameters,"Min\\t%d\\n",min);\n- fprintf(f_parameters,"Max\\t%d\\n",max);\n- fclose(f_parameters);\n-*/\n-\n- f_properties=fopen("fcs.properties","w");\n- fprintf(f_properties,"Bins=%ld\\n",num_bin);\n- fprintf(f_properties,"Density=%d\\n",den_t_event);\n- fprintf(f_properties,"Min=%d\\n",min);\n- fprintf(f_properties,"Max=%d\\n",max);\n- fprintf(f_properties,"Populations=%ld\\n",num_real_pop);\n- fprintf(f_properties,"Events=%ld\\n",file_Len);\n- fprintf(f_properties,"Markers=%ld\\n",num_dm);\n- fclose(f_properties);\n-\n- for (i=0;i<num_real_pop;i++) {\n-\t/* Add if we want to include population id in the output\n-\t*/\n-\tfprintf(f_ctr,"%ld\\t",i+1); //i changed to i+1 to start from 1 instead of 0: April 16, 2009\n-\n-\tfor (j=0;j<num_dm;j++) {\n-\t\tif (j==num_dm-1)\n-\t\t\tfprintf(f_ctr,"%.0f\\n",new_population_center[i][j]);\n-\t\telse\n-\t\t\tfprintf(f_ctr,"%.0f\\t",new_population_center[i][j]);\n-\t}\n- }\n-\n- \t//added April 16, 2009\n-\tf_mfi=fopen("MFI.txt","w");\n-\n-\tfor (i=0;i<num_real_pop;i++)\n-\t{\n-\t\tfprintf(f_mfi,"%ld\\t",i+1);\n-\n-\t\tfor (j=0;j<num_dm;j++)\n-\t\t{\n-\t\t\tif (j==num_dm-1)\n-\t\t\t\tfprintf(f_mfi,"%.0f\\n",new_population_center[i][j]);\n-\t\t\telse\n-\t\t\t\tfprintf(f_mfi,"%.0f\\t",new_population_center[i][j]);\n-\t\t}\n-\t}\n-\tfclose(f_mfi);\n-\n-\t//ended April 16, 2009\n-\t\t\t\n- fclose(f_cid);\n- fclose(f_ctr);\n- fclose(f_out);\n- fclose(f_results);\n-\n-\n- for (i=0;i<num_population;i++)\n- \tfree(population_center[i]);\n- \n- free(population_center);\n- \n- for (i=0;i<num_real_pop;i++)\n-\t free(new_population_center[i]);\n- \n- free(new_population_center);\n-\n- for (i=0;i<file_Len;i++)\n- free(normalized_data[i]);\n- free(normalized_data);\t\n-\t\n- free(grid_populationID);\n-\n- free(cluster_populationID);\n- free(grid_clusterID);\n- free(cluster_ID);\n-\n- for (i=0;i<file_Len;i++)\n- free(input_data[i]);\n- free(input_data);\n-\n- free(grid_ID);\n- free(population_ID);\n- free(all_population_ID);\n- free(eventID_To_denseventID);\n-\t\t\n- ///////////////////////////////////////////////////////////\n- printf("Ending time:\\t\\t\\t\\t");\n- fflush(stdout);\n- system("/bin/date");\n-\n- /*\n- * Windows version\n- _strtime( tmpbuf );\n- printf( "Ending time:\\t\\t\\t\\t%s\\n", tmpbuf );\n- _strdate( tmpbuf );\n- printf( "Ending date:\\t\\t\\t\\t%s\\n", tmpbuf );\n- */\n- \n- return 0;\n-}\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/static/images/flock_logo.png |
| b |
| Binary file run_flock/static/images/flock_logo.png has changed |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/input.flowtext --- a/run_flock/test-data/input.flowtext Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,20000 +0,0 @@\n-FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\n-328\t122\t547\t94\t85\t93\n-581\t1023\t143\t235\t270\t106\n-427\t172\t140\t200\t631\t300\n-363\t92\t526\t0\t140\t5\n-416\t113\t485\t22\t157\t226\n-317\t100\t488\t165\t83\t39\n-636\t436\t439\t143\t81\t217\n-262\t49\t395\t0\t42\t171\n-332\t147\t534\t241\t142\t43\n-567\t454\t305\t30\t168\t236\n-333\t138\t104\t0\t612\t225\n-359\t100\t530\t132\t63\t100\n-298\t85\t480\t253\t0\t171\n-392\t123\t90\t176\t623\t182\n-303\t112\t0\t115\t84\t64\n-591\t948\t188\t176\t247\t130\n-687\t535\t422\t301\t156\t230\n-372\t151\t524\t182\t16\t273\n-420\t180\t555\t88\t0\t119\n-401\t182\t104\t76\t103\t138\n-571\t1023\t364\t461\t377\t463\n-398\t169\t92\t126\t668\t312\n-378\t152\t552\t114\t125\t92\n-352\t108\t528\t174\t47\t28\n-714\t391\t449\t0\t210\t257\n-524\t497\t106\t106\t180\t244\n-563\t1023\t366\t471\t397\t460\n-407\t93\t80\t145\t579\t306\n-358\t129\t73\t257\t604\t268\n-1023\t1023\t479\t406\t385\t351\n-1023\t1023\t455\t536\t472\t508\n-474\t172\t563\t0\t160\t111\n-577\t1023\t164\t302\t258\t219\n-348\t73\t521\t212\t0\t142\n-294\t79\t470\t43\t112\t293\n-369\t197\t0\t197\t185\t124\n-389\t121\t71\t179\t637\t297\n-589\t895\t180\t184\t246\t239\n-432\t883\t8\t220\t177\t128\n-601\t1004\t162\t221\t231\t128\n-353\t137\t539\t196\t123\t63\n-357\t127\t40\t203\t520\t174\n-326\t128\t483\t194\t67\t34\n-286\t74\t27\t78\t546\t266\n-394\t158\t130\t82\t596\t314\n-389\t224\t100\t113\t236\t104\n-294\t77\t479\t270\t0\t47\n-556\t946\t156\t211\t299\t177\n-363\t117\t539\t199\t132\t62\n-769\t1023\t189\t288\t291\t28\n-558\t334\t325\t185\t186\t227\n-760\t1023\t181\t271\t239\t258\n-421\t243\t113\t90\t215\t181\n-513\t283\t263\t241\t126\t124\n-686\t935\t227\t267\t223\t109\n-418\t137\t104\t127\t649\t260\n-322\t115\t527\t0\t75\t70\n-563\t1023\t165\t177\t212\t224\n-620\t1023\t238\t267\t176\t206\n-766\t1023\t347\t411\t384\t191\n-378\t159\t41\t186\t637\t245\n-598\t1023\t402\t490\t417\t399\n-349\t142\t0\t191\t643\t286\n-373\t102\t544\t147\t0\t215\n-404\t138\t559\t267\t236\t133\n-277\t47\t486\t242\t61\t120\n-375\t113\t542\t122\t113\t23\n-695\t849\t168\t230\t238\t209\n-466\t185\t569\t184\t112\t238\n-393\t114\t581\t131\t0\t118\n-574\t1023\t127\t275\t245\t207\n-618\t1023\t129\t271\t228\t230\n-605\t1006\t213\t204\t220\t220\n-495\t605\t83\t155\t167\t225\n-716\t807\t131\t269\t126\t129\n-607\t1023\t147\t294\t253\t219\n-392\t236\t484\t237\t29\t106\n-551\t910\t379\t822\t363\t417\n-383\t153\t0\t0\t643\t286\n-1023\t1023\t465\t336\t347\t366\n-316\t233\t31\t209\t140\t307\n-681\t1023\t284\t324\t280\t220\n-418\t143\t553\t171\t98\t195\n-361\t87\t26\t0\t618\t307\n-419\t177\t91\t153\t277\t199\n-598\t984\t87\t260\t246\t263\n-634\t1023\t88\t158\t178\t156\n-595\t1023\t154\t238\t284\t247\n-388\t203\t544\t0\t149\t126\n-354\t159\t504\t210\t0\t152\n-294\t76\t141\t0\t29\t255\n-328\t99\t468\t177\t171\t44\n-283\t128\t463\t112\t0\t126\n-673\t1023\t156\t262\t211\t40\n-409\t115\t515\t217\t52\t193\n-321\t102\t514\t0\t62\t135\n-279\t83\t435\t174\t0\t267\n-565\t1017\t67\t233\t210\t238\n-339\t123\t538\t60\t99\t73\n-343\t148\t44\t134\t615\t235\n-390\t130\t86\t82\t635\t220\n-283\t52\t423\t52\t63\t69\n-548\t843\t101\t49\t239\t133\n-1023\t1023\t307\t345\t357\t285\n-580\t1019\t105\t263\t222\t286\n-597\t1023\t234\t215\t225\t89\n-441\t159\t546\t269\t33\t164\n-330\t101\t531\t0\t59\t14\n-373\t170\t53\t131\t84\t0\n-338\t117\t261\t0\t80\t68\n-398\t155\t144\t123\t616\t223\n-615\t460\t273\t253\t171\t14\n-773\t583\t406\t246\t187\t289\n-369\t121\t556\t167\t0\t175\n-379\t104\t505\t0\t0\t215\n-369\t111\t68\t142\t299\t190\n-358\t102\t552\t190\t18\t169\n-448\t167\t99\t0\t0\t18\n-594\t270\t154\t167\t707\t397\n-501\t193\t147\t0\t39\t199\n-726\t980\t187\t195\t221\t192\n-373\t140\t554\t20\t0\t43\n-423\t152\t116\t0\t591\t142\n-338\t129\t36\t0\t597\t202\n-371\t104\t568\t49\t139\t130\n-353\t112\t550\t48\t0\t95\n-351\t118\t498\t251\t44\t206\n-788\t1023\t124\t266\t221\t278\n-346\t138\t510\t206\t0\t128\n-304\t90\t467\t74\t0\t194\n-655\t530\t275\t285\t246\t309\n-356\t116\t539\t79\t0\t96\n-356\t138\t67\t0\t645\t250\n-656\t1023\t200\t274\t318\t286\n-817\t1023\t155\t266\t240\t173\n-370\t80\t74\t196\t532\t246\n-350\t128\t540\t0\t146\t77\n-691\t1023\t0\t283\t190\t277\n-631\t302\t459\t156\t164\t229\n-645\t285\t388\t205\t187\t196\n-389\t185\t160\t28\t664\t319\n-413\t152\t22\t0\t645\t66\n-464\t230\t97\t170\t164\t109\n-328\t93\t0\t0\t436\t206\n-956\t391\t578\t205\t288\t255\n-335\t141\t520\t103\t21\t155\n-588\t1009\t177\t271\t237\t206\n-427\t132\t549\t1\t68\t270\n-779\t1023\t121\t267\t274\t283\n-599\t933\t192\t228\t173\t256\n-688\t1023\t132\t304\t256\t64\n-333\t79\t493\t123\t8\t128\n-391\t193\t137\t189\t649\t313\n-371\t166\t102\t125\t124\t227\n-690\t931\t174\t282\t264\t161\n-277\t155\t2\t78\t0\t91\n-430\t131\t545\t72\t155\t316\n-361\t146\t26\t73\t659\t267\n-340\t129\t504\t152\t0\t161\n-357\t152\t59\t65\t569\t205\n-620\t1023\t185\t263\t224\t239\n-691\t503\t359\t13\t179\t298\n-365\t206\t523\t174\t0\t162\n-863\t1023\t179\t286\t250\t171\n-367\t92\t478\t159\t132\t126\n-503\t589\t153\t294\t127\t2'..b'\t1023\t222\t198\t274\t293\n-567\t1023\t356\t437\t355\t441\n-414\t150\t138\t100\t649\t325\n-658\t979\t191\t303\t213\t128\n-721\t1023\t166\t260\t318\t232\n-566\t954\t119\t266\t279\t311\n-383\t190\t512\t211\t131\t125\n-367\t108\t523\t0\t83\t122\n-404\t164\t101\t192\t627\t262\n-402\t140\t175\t129\t545\t249\n-376\t156\t548\t180\t33\t219\n-656\t1023\t122\t250\t290\t130\n-342\t92\t42\t51\t652\t337\n-611\t290\t261\t179\t206\t256\n-327\t98\t509\t117\t0\t209\n-324\t105\t532\t166\t0\t254\n-373\t216\t73\t334\t81\t154\n-584\t1023\t116\t219\t126\t250\n-351\t125\t540\t214\t0\t196\n-318\t181\t76\t82\t52\t26\n-327\t114\t510\t220\t0\t57\n-945\t1023\t234\t319\t308\t197\n-412\t133\t564\t199\t100\t165\n-436\t259\t502\t164\t64\t155\n-815\t1023\t120\t292\t223\t136\n-810\t1023\t258\t296\t283\t224\n-420\t91\t525\t1\t0\t22\n-443\t198\t555\t129\t156\t245\n-369\t121\t541\t40\t114\t110\n-494\t295\t147\t150\t128\t103\n-637\t1012\t183\t266\t267\t83\n-375\t164\t106\t166\t642\t239\n-394\t199\t75\t76\t597\t272\n-665\t1023\t195\t223\t251\t195\n-362\t107\t551\t10\t0\t0\n-704\t1023\t206\t175\t191\t267\n-338\t97\t464\t139\t106\t176\n-325\t90\t521\t17\t0\t69\n-379\t212\t526\t140\t85\t191\n-424\t163\t565\t27\t190\t98\n-376\t126\t99\t56\t622\t238\n-398\t190\t124\t150\t628\t269\n-349\t113\t80\t76\t648\t202\n-647\t1019\t154\t245\t221\t240\n-791\t1023\t146\t161\t183\t137\n-363\t169\t548\t129\t91\t252\n-433\t248\t99\t159\t152\t225\n-346\t115\t516\t155\t0\t132\n-758\t1023\t195\t258\t269\t230\n-330\t158\t64\t0\t56\t234\n-374\t119\t548\t146\t0\t22\n-362\t211\t550\t232\t0\t214\n-687\t1023\t194\t282\t197\t115\n-489\t209\t0\t144\t262\t43\n-594\t1023\t343\t500\t375\t406\n-329\t130\t535\t11\t49\t98\n-829\t1023\t186\t238\t227\t176\n-326\t178\t44\t182\t621\t203\n-609\t1023\t99\t225\t206\t183\n-315\t104\t505\t88\t0\t118\n-380\t185\t112\t2\t632\t253\n-709\t491\t332\t198\t232\t159\n-422\t138\t564\t187\t0\t263\n-359\t168\t516\t4\t84\t135\n-766\t1023\t167\t226\t215\t223\n-693\t1023\t201\t291\t238\t121\n-373\t127\t462\t124\t87\t57\n-590\t965\t152\t114\t195\t265\n-582\t375\t413\t171\t121\t232\n-606\t1023\t179\t213\t201\t226\n-358\t96\t63\t164\t593\t283\n-380\t112\t562\t102\t142\t0\n-382\t90\t521\t73\t121\t110\n-351\t95\t540\t0\t178\t127\n-541\t1023\t321\t447\t380\t428\n-331\t176\t497\t172\t0\t141\n-682\t1023\t175\t327\t242\t228\n-378\t114\t532\t148\t0\t135\n-334\t113\t511\t200\t46\t211\n-362\t84\t526\t102\t0\t185\n-791\t1023\t197\t279\t314\t236\n-356\t126\t529\t0\t43\t138\n-696\t1023\t130\t274\t235\t332\n-722\t1023\t190\t260\t250\t237\n-376\t94\t544\t104\t0\t99\n-415\t147\t525\t0\t189\t102\n-641\t950\t91\t250\t244\t212\n-387\t124\t538\t23\t139\t4\n-458\t103\t513\t0\t0\t106\n-414\t126\t86\t95\t567\t171\n-559\t919\t160\t218\t138\t193\n-572\t895\t156\t49\t236\t47\n-381\t111\t510\t93\t0\t95\n-299\t143\t11\t0\t95\t58\n-585\t1023\t197\t221\t216\t193\n-638\t1023\t225\t254\t180\t157\n-369\t162\t540\t81\t0\t56\n-599\t915\t77\t255\t248\t124\n-686\t1023\t89\t257\t217\t232\n-578\t1023\t83\t207\t216\t126\n-364\t120\t503\t0\t153\t225\n-600\t1018\t153\t222\t275\t38\n-383\t192\t101\t229\t624\t224\n-383\t130\t532\t0\t67\t107\n-328\t146\t23\t138\t0\t116\n-272\t75\t99\t154\t220\t133\n-323\t171\t96\t61\t146\t0\n-337\t81\t506\t10\t0\t150\n-290\t151\t0\t0\t106\t159\n-661\t1023\t213\t292\t238\t295\n-590\t1023\t216\t252\t264\t276\n-512\t263\t118\t0\t213\t348\n-315\t126\t502\t269\t48\t98\n-276\t85\t479\t104\t40\t102\n-378\t81\t548\t167\t0\t58\n-387\t154\t0\t190\t656\t362\n-602\t1023\t143\t256\t247\t38\n-341\t142\t530\t7\t89\t46\n-691\t1023\t141\t212\t189\t204\n-576\t1006\t135\t209\t251\t216\n-567\t849\t120\t157\t87\t213\n-705\t1023\t189\t282\t279\t330\n-985\t1023\t421\t292\t257\t220\n-651\t1023\t181\t285\t202\t201\n-693\t1023\t213\t300\t221\t225\n-408\t113\t545\t183\t210\t104\n-418\t143\t545\t0\t82\t126\n-384\t112\t522\t111\t76\t109\n-275\t48\t394\t0\t131\t0\n-359\t113\t42\t80\t600\t163\n-357\t169\t154\t138\t649\t283\n-400\t224\t108\t227\t31\t107\n-346\t88\t82\t84\t196\t98\n-323\t124\t534\t0\t186\t183\n-374\t103\t541\t142\t101\t52\n-380\t105\t508\t170\t126\t313\n-353\t196\t117\t115\t0\t164\n-359\t113\t511\t259\t0\t141\n-377\t137\t558\t11\t0\t14\n-623\t423\t459\t227\t147\t40\n-389\t149\t96\t50\t640\t263\n-543\t1023\t144\t249\t187\t104\n-691\t982\t85\t264\t194\t206\n-627\t1023\t157\t238\t216\t193\n-577\t1023\t165\t258\t299\t198\n-402\t131\t569\t0\t124\t0\n-337\t91\t506\t231\t0\t49\n-636\t870\t91\t227\t96\t172\n-356\t125\t58\t0\t621\t308\n-390\t190\t46\t88\t665\t313\n-351\t68\t529\t86\t0\t56\n-623\t475\t365\t79\t157\t281\n-335\t74\t512\t209\t49\t270\n-496\t194\t105\t202\t427\t25\n-614\t1023\t178\t280\t196\t117\n-381\t84\t545\t101\t0\t140\n-289\t93\t425\t0\t28\t68\n-385\t240\t52\t168\t638\t277\n-322\t162\t103\t0\t52\t61\n-343\t126\t488\t99\t187\t276\n-362\t197\t105\t68\t0\t2\n-378\t99\t527\t0\t0\t116\n-347\t107\t522\t0\t0\t200\n-468\t198\t137\t99\t341\t111\n-572\t967\t57\t255\t159\t220\n-608\t1023\t115\t247\t174\t266\n-637\t1023\t203\t289\t255\t175\n-649\t902\t155\t165\t213\t262\n-322\t148\t0\t187\t87\t115\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/mfi.flowmfi --- a/run_flock/test-data/mfi.flowmfi Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,31 +0,0 @@ -Population FSC SSC CD4 CCR3 CD8 CCR7 -1 357 117 517 12 57 111 -2 333 152 69 20 69 106 -3 355 174 76 152 79 77 -4 421 381 147 402 140 186 -5 372 124 524 227 51 131 -6 370 150 75 26 618 264 -7 358 118 513 119 57 114 -8 378 207 99 127 120 218 -9 360 121 518 179 51 38 -10 384 158 83 154 620 272 -11 367 152 70 98 583 164 -12 414 146 527 208 71 282 -13 374 126 520 150 57 196 -14 387 184 91 96 338 101 -15 355 118 515 27 58 34 -16 369 124 516 20 70 188 -17 411 147 530 41 86 301 -18 675 453 385 196 184 256 -19 613 988 153 256 222 257 -20 620 986 151 255 224 180 -21 745 1015 190 274 255 261 -22 655 987 153 244 224 70 -23 540 926 347 485 363 413 -24 766 1012 181 267 243 163 -25 966 965 328 323 295 331 -26 650 392 384 179 171 121 -27 612 965 145 152 213 228 -28 578 934 128 172 209 129 -29 979 1010 437 523 406 456 -30 749 858 535 834 564 580 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/mfi2.flowmfi --- a/run_flock/test-data/mfi2.flowmfi Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,15 +0,0 @@ -Population FSC SSC CD4 CCR3 CD8 CCR7 -1 367 123 521 108 59 131 -2 360 183 77 104 121 127 -3 375 154 77 95 610 244 -4 361 129 289 89 84 93 -5 648 399 415 19 173 207 -6 695 472 397 233 188 255 -7 659 980 162 242 229 197 -8 442 383 325 616 334 397 -9 651 402 390 178 171 142 -10 574 983 351 479 362 412 -11 493 634 496 864 562 577 -12 509 341 169 224 161 383 -13 1007 976 326 320 298 306 -14 996 1013 454 536 426 469 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/mfi3.flowmfi --- a/run_flock/test-data/mfi3.flowmfi Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,10 +0,0 @@ -Population FSC SSC CD4 CCR3 CD8 CCR7 -1 375 155 78 95 607 244 -2 366 123 519 189 53 95 -3 357 178 79 99 116 124 -4 387 132 522 110 67 234 -5 653 422 372 195 177 212 -6 357 118 513 28 60 95 -7 630 966 148 227 219 135 -8 724 937 380 497 376 426 -9 694 997 177 257 239 247 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/out1.flowclr --- a/run_flock/test-data/out1.flowclr Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,20000 +0,0 @@\n-FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\tPopulation\n-328\t122\t547\t94\t85\t93\t7\n-581\t1023\t143\t235\t270\t106\t22\n-427\t172\t140\t200\t631\t300\t10\n-363\t92\t526\t0\t140\t5\t15\n-416\t113\t485\t22\t157\t226\t16\n-317\t100\t488\t165\t83\t39\t9\n-636\t436\t439\t143\t81\t217\t18\n-262\t49\t395\t0\t42\t171\t16\n-332\t147\t534\t241\t142\t43\t9\n-567\t454\t305\t30\t168\t236\t18\n-333\t138\t104\t0\t612\t225\t6\n-359\t100\t530\t132\t63\t100\t7\n-298\t85\t480\t253\t0\t171\t5\n-392\t123\t90\t176\t623\t182\t11\n-303\t112\t0\t115\t84\t64\t3\n-591\t948\t188\t176\t247\t130\t28\n-687\t535\t422\t301\t156\t230\t18\n-372\t151\t524\t182\t16\t273\t12\n-420\t180\t555\t88\t0\t119\t7\n-401\t182\t104\t76\t103\t138\t2\n-571\t1023\t364\t461\t377\t463\t23\n-398\t169\t92\t126\t668\t312\t10\n-378\t152\t552\t114\t125\t92\t7\n-352\t108\t528\t174\t47\t28\t9\n-714\t391\t449\t0\t210\t257\t18\n-524\t497\t106\t106\t180\t244\t8\n-563\t1023\t366\t471\t397\t460\t23\n-407\t93\t80\t145\t579\t306\t10\n-358\t129\t73\t257\t604\t268\t10\n-1023\t1023\t479\t406\t385\t351\t25\n-1023\t1023\t455\t536\t472\t508\t29\n-474\t172\t563\t0\t160\t111\t1\n-577\t1023\t164\t302\t258\t219\t19\n-348\t73\t521\t212\t0\t142\t5\n-294\t79\t470\t43\t112\t293\t17\n-369\t197\t0\t197\t185\t124\t3\n-389\t121\t71\t179\t637\t297\t10\n-589\t895\t180\t184\t246\t239\t27\n-432\t883\t8\t220\t177\t128\t28\n-601\t1004\t162\t221\t231\t128\t28\n-353\t137\t539\t196\t123\t63\t9\n-357\t127\t40\t203\t520\t174\t11\n-326\t128\t483\t194\t67\t34\t9\n-286\t74\t27\t78\t546\t266\t6\n-394\t158\t130\t82\t596\t314\t6\n-389\t224\t100\t113\t236\t104\t14\n-294\t77\t479\t270\t0\t47\t9\n-556\t946\t156\t211\t299\t177\t20\n-363\t117\t539\t199\t132\t62\t9\n-769\t1023\t189\t288\t291\t28\t22\n-558\t334\t325\t185\t186\t227\t18\n-760\t1023\t181\t271\t239\t258\t21\n-421\t243\t113\t90\t215\t181\t8\n-513\t283\t263\t241\t126\t124\t26\n-686\t935\t227\t267\t223\t109\t22\n-418\t137\t104\t127\t649\t260\t10\n-322\t115\t527\t0\t75\t70\t15\n-563\t1023\t165\t177\t212\t224\t27\n-620\t1023\t238\t267\t176\t206\t20\n-766\t1023\t347\t411\t384\t191\t24\n-378\t159\t41\t186\t637\t245\t10\n-598\t1023\t402\t490\t417\t399\t23\n-349\t142\t0\t191\t643\t286\t10\n-373\t102\t544\t147\t0\t215\t13\n-404\t138\t559\t267\t236\t133\t5\n-277\t47\t486\t242\t61\t120\t5\n-375\t113\t542\t122\t113\t23\t9\n-695\t849\t168\t230\t238\t209\t20\n-466\t185\t569\t184\t112\t238\t12\n-393\t114\t581\t131\t0\t118\t7\n-574\t1023\t127\t275\t245\t207\t20\n-618\t1023\t129\t271\t228\t230\t19\n-605\t1006\t213\t204\t220\t220\t27\n-495\t605\t83\t155\t167\t225\t27\n-716\t807\t131\t269\t126\t129\t24\n-607\t1023\t147\t294\t253\t219\t19\n-392\t236\t484\t237\t29\t106\t5\n-551\t910\t379\t822\t363\t417\t30\n-383\t153\t0\t0\t643\t286\t6\n-1023\t1023\t465\t336\t347\t366\t25\n-316\t233\t31\t209\t140\t307\t8\n-681\t1023\t284\t324\t280\t220\t21\n-418\t143\t553\t171\t98\t195\t13\n-361\t87\t26\t0\t618\t307\t6\n-419\t177\t91\t153\t277\t199\t8\n-598\t984\t87\t260\t246\t263\t19\n-634\t1023\t88\t158\t178\t156\t28\n-595\t1023\t154\t238\t284\t247\t19\n-388\t203\t544\t0\t149\t126\t1\n-354\t159\t504\t210\t0\t152\t5\n-294\t76\t141\t0\t29\t255\t8\n-328\t99\t468\t177\t171\t44\t9\n-283\t128\t463\t112\t0\t126\t7\n-673\t1023\t156\t262\t211\t40\t22\n-409\t115\t515\t217\t52\t193\t13\n-321\t102\t514\t0\t62\t135\t1\n-279\t83\t435\t174\t0\t267\t12\n-565\t1017\t67\t233\t210\t238\t19\n-339\t123\t538\t60\t99\t73\t15\n-343\t148\t44\t134\t615\t235\t10\n-390\t130\t86\t82\t635\t220\t11\n-283\t52\t423\t52\t63\t69\t15\n-548\t843\t101\t49\t239\t133\t28\n-1023\t1023\t307\t345\t357\t285\t25\n-580\t1019\t105\t263\t222\t286\t19\n-597\t1023\t234\t215\t225\t89\t22\n-441\t159\t546\t269\t33\t164\t5\n-330\t101\t531\t0\t59\t14\t15\n-373\t170\t53\t131\t84\t0\t3\n-338\t117\t261\t0\t80\t68\t2\n-398\t155\t144\t123\t616\t223\t10\n-615\t460\t273\t253\t171\t14\t26\n-773\t583\t406\t246\t187\t289\t18\n-369\t121\t556\t167\t0\t175\t13\n-379\t104\t505\t0\t0\t215\t16\n-369\t111\t68\t142\t299\t190\t8\n-358\t102\t552\t190\t18\t169\t13\n-448\t167\t99\t0\t0\t18\t2\n-594\t270\t154\t167\t707\t397\t10\n-501\t193\t147\t0\t39\t199\t8\n-726\t980\t187\t195\t221\t192\t24\n-373\t140\t554\t20\t0\t43\t15\n-423\t152\t116\t0\t591\t142\t11\n-338\t129\t36\t0\t597\t202\t6\n-371\t104\t568\t49\t139\t130\t1\n-353\t112\t550\t48\t0\t95\t1\n-351\t118\t498\t251\t44\t206\t5\n-788\t1023\t124\t266\t221\t278\t21\n-346\t138\t510\t206\t0\t128\t5\n-304\t90\t467\t74\t0\t194\t16\n-655\t530\t275\t285\t246\t309\t18\n-356\t116\t539\t79\t0\t96\t7\n-356\t138\t67\t0\t645\t250\t6\n-656\t1023\t200\t274\t318\t286\t21\n-817\t1023\t155\t266\t240\t173\t24\n-370\t80\t74\t196\t532\t246\t10\n-350\t128\t540\t0\t146\t77\t1\n-691\t1023\t0\t283\t190\t277\t19\n-631\t302\t459\t156\t164\t229\t18\n-645\t285\t388\t205\t187\t196\t18\n-389\t185\t160\t28\t664\t319\t6\n-413\t152\t22\t0\t645\t66\t11\n-464\t230\t97\t170\t164\t109\t3\n-328\t93\t0\t0\t436\t206\t6\n-956\t391\t578\t205\t288\t255\t18\n-335\t141\t520\t103\t21\t155\t7\n-588\t1009\t177\t271\t237\t206\t20\n-427\t132\t549\t1\t68\t270\t17\n-779\t1023\t121\t267\t274\t283\t21\n-'..b'\t154\t4\n-584\t1023\t116\t219\t126\t250\t19\n-351\t125\t540\t214\t0\t196\t13\n-318\t181\t76\t82\t52\t26\t3\n-327\t114\t510\t220\t0\t57\t9\n-945\t1023\t234\t319\t308\t197\t24\n-412\t133\t564\t199\t100\t165\t5\n-436\t259\t502\t164\t64\t155\t13\n-815\t1023\t120\t292\t223\t136\t24\n-810\t1023\t258\t296\t283\t224\t21\n-420\t91\t525\t1\t0\t22\t15\n-443\t198\t555\t129\t156\t245\t13\n-369\t121\t541\t40\t114\t110\t1\n-494\t295\t147\t150\t128\t103\t3\n-637\t1012\t183\t266\t267\t83\t22\n-375\t164\t106\t166\t642\t239\t10\n-394\t199\t75\t76\t597\t272\t6\n-665\t1023\t195\t223\t251\t195\t20\n-362\t107\t551\t10\t0\t0\t15\n-704\t1023\t206\t175\t191\t267\t27\n-338\t97\t464\t139\t106\t176\t13\n-325\t90\t521\t17\t0\t69\t15\n-379\t212\t526\t140\t85\t191\t13\n-424\t163\t565\t27\t190\t98\t1\n-376\t126\t99\t56\t622\t238\t6\n-398\t190\t124\t150\t628\t269\t10\n-349\t113\t80\t76\t648\t202\t11\n-647\t1019\t154\t245\t221\t240\t19\n-791\t1023\t146\t161\t183\t137\t24\n-363\t169\t548\t129\t91\t252\t13\n-433\t248\t99\t159\t152\t225\t8\n-346\t115\t516\t155\t0\t132\t7\n-758\t1023\t195\t258\t269\t230\t21\n-330\t158\t64\t0\t56\t234\t8\n-374\t119\t548\t146\t0\t22\t9\n-362\t211\t550\t232\t0\t214\t13\n-687\t1023\t194\t282\t197\t115\t22\n-489\t209\t0\t144\t262\t43\t14\n-594\t1023\t343\t500\t375\t406\t23\n-329\t130\t535\t11\t49\t98\t1\n-829\t1023\t186\t238\t227\t176\t24\n-326\t178\t44\t182\t621\t203\t10\n-609\t1023\t99\t225\t206\t183\t20\n-315\t104\t505\t88\t0\t118\t7\n-380\t185\t112\t2\t632\t253\t6\n-709\t491\t332\t198\t232\t159\t26\n-422\t138\t564\t187\t0\t263\t12\n-359\t168\t516\t4\t84\t135\t1\n-766\t1023\t167\t226\t215\t223\t21\n-693\t1023\t201\t291\t238\t121\t24\n-373\t127\t462\t124\t87\t57\t9\n-590\t965\t152\t114\t195\t265\t27\n-582\t375\t413\t171\t121\t232\t18\n-606\t1023\t179\t213\t201\t226\t19\n-358\t96\t63\t164\t593\t283\t10\n-380\t112\t562\t102\t142\t0\t15\n-382\t90\t521\t73\t121\t110\t7\n-351\t95\t540\t0\t178\t127\t1\n-541\t1023\t321\t447\t380\t428\t23\n-331\t176\t497\t172\t0\t141\t5\n-682\t1023\t175\t327\t242\t228\t21\n-378\t114\t532\t148\t0\t135\t7\n-334\t113\t511\t200\t46\t211\t13\n-362\t84\t526\t102\t0\t185\t13\n-791\t1023\t197\t279\t314\t236\t21\n-356\t126\t529\t0\t43\t138\t1\n-696\t1023\t130\t274\t235\t332\t21\n-722\t1023\t190\t260\t250\t237\t21\n-376\t94\t544\t104\t0\t99\t7\n-415\t147\t525\t0\t189\t102\t1\n-641\t950\t91\t250\t244\t212\t20\n-387\t124\t538\t23\t139\t4\t15\n-458\t103\t513\t0\t0\t106\t1\n-414\t126\t86\t95\t567\t171\t11\n-559\t919\t160\t218\t138\t193\t20\n-572\t895\t156\t49\t236\t47\t28\n-381\t111\t510\t93\t0\t95\t7\n-299\t143\t11\t0\t95\t58\t2\n-585\t1023\t197\t221\t216\t193\t20\n-638\t1023\t225\t254\t180\t157\t20\n-369\t162\t540\t81\t0\t56\t15\n-599\t915\t77\t255\t248\t124\t20\n-686\t1023\t89\t257\t217\t232\t19\n-578\t1023\t83\t207\t216\t126\t28\n-364\t120\t503\t0\t153\t225\t16\n-600\t1018\t153\t222\t275\t38\t22\n-383\t192\t101\t229\t624\t224\t10\n-383\t130\t532\t0\t67\t107\t1\n-328\t146\t23\t138\t0\t116\t3\n-272\t75\t99\t154\t220\t133\t3\n-323\t171\t96\t61\t146\t0\t3\n-337\t81\t506\t10\t0\t150\t1\n-290\t151\t0\t0\t106\t159\t2\n-661\t1023\t213\t292\t238\t295\t21\n-590\t1023\t216\t252\t264\t276\t19\n-512\t263\t118\t0\t213\t348\t8\n-315\t126\t502\t269\t48\t98\t5\n-276\t85\t479\t104\t40\t102\t7\n-378\t81\t548\t167\t0\t58\t9\n-387\t154\t0\t190\t656\t362\t10\n-602\t1023\t143\t256\t247\t38\t22\n-341\t142\t530\t7\t89\t46\t15\n-691\t1023\t141\t212\t189\t204\t20\n-576\t1006\t135\t209\t251\t216\t27\n-567\t849\t120\t157\t87\t213\t27\n-705\t1023\t189\t282\t279\t330\t21\n-985\t1023\t421\t292\t257\t220\t25\n-651\t1023\t181\t285\t202\t201\t20\n-693\t1023\t213\t300\t221\t225\t21\n-408\t113\t545\t183\t210\t104\t5\n-418\t143\t545\t0\t82\t126\t1\n-384\t112\t522\t111\t76\t109\t7\n-275\t48\t394\t0\t131\t0\t15\n-359\t113\t42\t80\t600\t163\t11\n-357\t169\t154\t138\t649\t283\t10\n-400\t224\t108\t227\t31\t107\t3\n-346\t88\t82\t84\t196\t98\t14\n-323\t124\t534\t0\t186\t183\t16\n-374\t103\t541\t142\t101\t52\t9\n-380\t105\t508\t170\t126\t313\t12\n-353\t196\t117\t115\t0\t164\t8\n-359\t113\t511\t259\t0\t141\t5\n-377\t137\t558\t11\t0\t14\t15\n-623\t423\t459\t227\t147\t40\t26\n-389\t149\t96\t50\t640\t263\t6\n-543\t1023\t144\t249\t187\t104\t28\n-691\t982\t85\t264\t194\t206\t20\n-627\t1023\t157\t238\t216\t193\t20\n-577\t1023\t165\t258\t299\t198\t20\n-402\t131\t569\t0\t124\t0\t15\n-337\t91\t506\t231\t0\t49\t9\n-636\t870\t91\t227\t96\t172\t20\n-356\t125\t58\t0\t621\t308\t6\n-390\t190\t46\t88\t665\t313\t10\n-351\t68\t529\t86\t0\t56\t15\n-623\t475\t365\t79\t157\t281\t18\n-335\t74\t512\t209\t49\t270\t12\n-496\t194\t105\t202\t427\t25\t14\n-614\t1023\t178\t280\t196\t117\t22\n-381\t84\t545\t101\t0\t140\t7\n-289\t93\t425\t0\t28\t68\t15\n-385\t240\t52\t168\t638\t277\t10\n-322\t162\t103\t0\t52\t61\t2\n-343\t126\t488\t99\t187\t276\t17\n-362\t197\t105\t68\t0\t2\t3\n-378\t99\t527\t0\t0\t116\t1\n-347\t107\t522\t0\t0\t200\t16\n-468\t198\t137\t99\t341\t111\t14\n-572\t967\t57\t255\t159\t220\t19\n-608\t1023\t115\t247\t174\t266\t19\n-637\t1023\t203\t289\t255\t175\t20\n-649\t902\t155\t165\t213\t262\t27\n-322\t148\t0\t187\t87\t115\t3\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/out1.flowscore --- a/run_flock/test-data/out1.flowscore Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,31 +0,0 @@ -Population_ID FSC SSC CD4 CCR3 CD8 CCR7 Count Percentage -1 1 1 3 1 1 1 1093 5.47 -2 1 1 1 1 1 1 695 3.48 -3 1 1 1 1 1 1 574 2.87 -4 1 2 1 2 1 1 146 0.73 -5 1 1 3 1 1 1 982 4.91 -6 1 1 1 1 3 2 1212 6.06 -7 1 1 3 1 1 1 1055 5.28 -8 1 1 1 1 1 1 578 2.89 -9 1 1 3 1 1 1 986 4.93 -10 1 1 1 1 3 2 1326 6.63 -11 1 1 1 1 3 1 693 3.47 -12 1 1 3 1 1 2 368 1.84 -13 1 1 3 1 1 1 841 4.21 -14 1 1 1 1 2 1 315 1.58 -15 1 1 3 1 1 1 879 4.40 -16 1 1 3 1 1 1 911 4.56 -17 1 1 3 1 1 2 323 1.62 -18 3 2 3 1 1 2 522 2.61 -19 2 4 1 1 1 2 1003 5.02 -20 2 4 1 1 1 1 1081 5.41 -21 3 4 1 2 2 2 947 4.74 -22 3 4 1 1 1 1 597 2.99 -23 2 4 2 2 2 3 297 1.49 -24 3 4 1 2 1 1 699 3.50 -25 4 4 2 2 2 2 289 1.45 -26 3 2 3 1 1 1 364 1.82 -27 2 4 1 1 1 2 586 2.93 -28 2 4 1 1 1 1 485 2.43 -29 4 4 3 2 2 3 106 0.53 -30 4 4 3 4 2 3 46 0.23 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/out2.flowclr --- a/run_flock/test-data/out2.flowclr Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,20000 +0,0 @@\n-FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\tPopulation\n-328\t122\t547\t94\t85\t93\t1\n-581\t1023\t143\t235\t270\t106\t7\n-427\t172\t140\t200\t631\t300\t3\n-363\t92\t526\t0\t140\t5\t1\n-416\t113\t485\t22\t157\t226\t1\n-317\t100\t488\t165\t83\t39\t1\n-636\t436\t439\t143\t81\t217\t9\n-262\t49\t395\t0\t42\t171\t1\n-332\t147\t534\t241\t142\t43\t1\n-567\t454\t305\t30\t168\t236\t5\n-333\t138\t104\t0\t612\t225\t3\n-359\t100\t530\t132\t63\t100\t1\n-298\t85\t480\t253\t0\t171\t1\n-392\t123\t90\t176\t623\t182\t3\n-303\t112\t0\t115\t84\t64\t2\n-591\t948\t188\t176\t247\t130\t7\n-687\t535\t422\t301\t156\t230\t6\n-372\t151\t524\t182\t16\t273\t1\n-420\t180\t555\t88\t0\t119\t1\n-401\t182\t104\t76\t103\t138\t2\n-571\t1023\t364\t461\t377\t463\t10\n-398\t169\t92\t126\t668\t312\t3\n-378\t152\t552\t114\t125\t92\t1\n-352\t108\t528\t174\t47\t28\t1\n-714\t391\t449\t0\t210\t257\t5\n-524\t497\t106\t106\t180\t244\t2\n-563\t1023\t366\t471\t397\t460\t10\n-407\t93\t80\t145\t579\t306\t3\n-358\t129\t73\t257\t604\t268\t3\n-1023\t1023\t479\t406\t385\t351\t14\n-1023\t1023\t455\t536\t472\t508\t14\n-474\t172\t563\t0\t160\t111\t1\n-577\t1023\t164\t302\t258\t219\t7\n-348\t73\t521\t212\t0\t142\t1\n-294\t79\t470\t43\t112\t293\t1\n-369\t197\t0\t197\t185\t124\t2\n-389\t121\t71\t179\t637\t297\t3\n-589\t895\t180\t184\t246\t239\t7\n-432\t883\t8\t220\t177\t128\t7\n-601\t1004\t162\t221\t231\t128\t7\n-353\t137\t539\t196\t123\t63\t1\n-357\t127\t40\t203\t520\t174\t3\n-326\t128\t483\t194\t67\t34\t1\n-286\t74\t27\t78\t546\t266\t3\n-394\t158\t130\t82\t596\t314\t3\n-389\t224\t100\t113\t236\t104\t2\n-294\t77\t479\t270\t0\t47\t1\n-556\t946\t156\t211\t299\t177\t7\n-363\t117\t539\t199\t132\t62\t1\n-769\t1023\t189\t288\t291\t28\t7\n-558\t334\t325\t185\t186\t227\t6\n-760\t1023\t181\t271\t239\t258\t7\n-421\t243\t113\t90\t215\t181\t2\n-513\t283\t263\t241\t126\t124\t9\n-686\t935\t227\t267\t223\t109\t7\n-418\t137\t104\t127\t649\t260\t3\n-322\t115\t527\t0\t75\t70\t1\n-563\t1023\t165\t177\t212\t224\t7\n-620\t1023\t238\t267\t176\t206\t7\n-766\t1023\t347\t411\t384\t191\t7\n-378\t159\t41\t186\t637\t245\t3\n-598\t1023\t402\t490\t417\t399\t10\n-349\t142\t0\t191\t643\t286\t3\n-373\t102\t544\t147\t0\t215\t1\n-404\t138\t559\t267\t236\t133\t1\n-277\t47\t486\t242\t61\t120\t1\n-375\t113\t542\t122\t113\t23\t1\n-695\t849\t168\t230\t238\t209\t7\n-466\t185\t569\t184\t112\t238\t1\n-393\t114\t581\t131\t0\t118\t1\n-574\t1023\t127\t275\t245\t207\t7\n-618\t1023\t129\t271\t228\t230\t7\n-605\t1006\t213\t204\t220\t220\t7\n-495\t605\t83\t155\t167\t225\t7\n-716\t807\t131\t269\t126\t129\t7\n-607\t1023\t147\t294\t253\t219\t7\n-392\t236\t484\t237\t29\t106\t1\n-551\t910\t379\t822\t363\t417\t11\n-383\t153\t0\t0\t643\t286\t3\n-1023\t1023\t465\t336\t347\t366\t13\n-316\t233\t31\t209\t140\t307\t2\n-681\t1023\t284\t324\t280\t220\t7\n-418\t143\t553\t171\t98\t195\t1\n-361\t87\t26\t0\t618\t307\t3\n-419\t177\t91\t153\t277\t199\t2\n-598\t984\t87\t260\t246\t263\t7\n-634\t1023\t88\t158\t178\t156\t7\n-595\t1023\t154\t238\t284\t247\t7\n-388\t203\t544\t0\t149\t126\t1\n-354\t159\t504\t210\t0\t152\t1\n-294\t76\t141\t0\t29\t255\t2\n-328\t99\t468\t177\t171\t44\t1\n-283\t128\t463\t112\t0\t126\t1\n-673\t1023\t156\t262\t211\t40\t7\n-409\t115\t515\t217\t52\t193\t1\n-321\t102\t514\t0\t62\t135\t1\n-279\t83\t435\t174\t0\t267\t1\n-565\t1017\t67\t233\t210\t238\t7\n-339\t123\t538\t60\t99\t73\t1\n-343\t148\t44\t134\t615\t235\t3\n-390\t130\t86\t82\t635\t220\t3\n-283\t52\t423\t52\t63\t69\t1\n-548\t843\t101\t49\t239\t133\t7\n-1023\t1023\t307\t345\t357\t285\t13\n-580\t1019\t105\t263\t222\t286\t7\n-597\t1023\t234\t215\t225\t89\t7\n-441\t159\t546\t269\t33\t164\t1\n-330\t101\t531\t0\t59\t14\t1\n-373\t170\t53\t131\t84\t0\t2\n-338\t117\t261\t0\t80\t68\t4\n-398\t155\t144\t123\t616\t223\t3\n-615\t460\t273\t253\t171\t14\t9\n-773\t583\t406\t246\t187\t289\t6\n-369\t121\t556\t167\t0\t175\t1\n-379\t104\t505\t0\t0\t215\t1\n-369\t111\t68\t142\t299\t190\t2\n-358\t102\t552\t190\t18\t169\t1\n-448\t167\t99\t0\t0\t18\t2\n-594\t270\t154\t167\t707\t397\t3\n-501\t193\t147\t0\t39\t199\t2\n-726\t980\t187\t195\t221\t192\t7\n-373\t140\t554\t20\t0\t43\t1\n-423\t152\t116\t0\t591\t142\t3\n-338\t129\t36\t0\t597\t202\t3\n-371\t104\t568\t49\t139\t130\t1\n-353\t112\t550\t48\t0\t95\t1\n-351\t118\t498\t251\t44\t206\t1\n-788\t1023\t124\t266\t221\t278\t7\n-346\t138\t510\t206\t0\t128\t1\n-304\t90\t467\t74\t0\t194\t1\n-655\t530\t275\t285\t246\t309\t6\n-356\t116\t539\t79\t0\t96\t1\n-356\t138\t67\t0\t645\t250\t3\n-656\t1023\t200\t274\t318\t286\t7\n-817\t1023\t155\t266\t240\t173\t7\n-370\t80\t74\t196\t532\t246\t3\n-350\t128\t540\t0\t146\t77\t1\n-691\t1023\t0\t283\t190\t277\t7\n-631\t302\t459\t156\t164\t229\t9\n-645\t285\t388\t205\t187\t196\t6\n-389\t185\t160\t28\t664\t319\t3\n-413\t152\t22\t0\t645\t66\t3\n-464\t230\t97\t170\t164\t109\t2\n-328\t93\t0\t0\t436\t206\t3\n-956\t391\t578\t205\t288\t255\t6\n-335\t141\t520\t103\t21\t155\t1\n-588\t1009\t177\t271\t237\t206\t7\n-427\t132\t549\t1\t68\t270\t1\n-779\t1023\t121\t267\t274\t283\t7\n-599\t933\t192\t228\t173\t256\t7\n-688\t1023\t132\t304\t256\t64\t7\n-333\t79\t493\t123\t8\t128\t1\n-391\t193\t'..b'3\n-611\t290\t261\t179\t206\t256\t6\n-327\t98\t509\t117\t0\t209\t1\n-324\t105\t532\t166\t0\t254\t1\n-373\t216\t73\t334\t81\t154\t2\n-584\t1023\t116\t219\t126\t250\t7\n-351\t125\t540\t214\t0\t196\t1\n-318\t181\t76\t82\t52\t26\t2\n-327\t114\t510\t220\t0\t57\t1\n-945\t1023\t234\t319\t308\t197\t13\n-412\t133\t564\t199\t100\t165\t1\n-436\t259\t502\t164\t64\t155\t1\n-815\t1023\t120\t292\t223\t136\t7\n-810\t1023\t258\t296\t283\t224\t7\n-420\t91\t525\t1\t0\t22\t1\n-443\t198\t555\t129\t156\t245\t1\n-369\t121\t541\t40\t114\t110\t1\n-494\t295\t147\t150\t128\t103\t2\n-637\t1012\t183\t266\t267\t83\t7\n-375\t164\t106\t166\t642\t239\t3\n-394\t199\t75\t76\t597\t272\t3\n-665\t1023\t195\t223\t251\t195\t7\n-362\t107\t551\t10\t0\t0\t1\n-704\t1023\t206\t175\t191\t267\t7\n-338\t97\t464\t139\t106\t176\t1\n-325\t90\t521\t17\t0\t69\t1\n-379\t212\t526\t140\t85\t191\t1\n-424\t163\t565\t27\t190\t98\t1\n-376\t126\t99\t56\t622\t238\t3\n-398\t190\t124\t150\t628\t269\t3\n-349\t113\t80\t76\t648\t202\t3\n-647\t1019\t154\t245\t221\t240\t7\n-791\t1023\t146\t161\t183\t137\t7\n-363\t169\t548\t129\t91\t252\t1\n-433\t248\t99\t159\t152\t225\t2\n-346\t115\t516\t155\t0\t132\t1\n-758\t1023\t195\t258\t269\t230\t7\n-330\t158\t64\t0\t56\t234\t2\n-374\t119\t548\t146\t0\t22\t1\n-362\t211\t550\t232\t0\t214\t1\n-687\t1023\t194\t282\t197\t115\t7\n-489\t209\t0\t144\t262\t43\t2\n-594\t1023\t343\t500\t375\t406\t10\n-329\t130\t535\t11\t49\t98\t1\n-829\t1023\t186\t238\t227\t176\t7\n-326\t178\t44\t182\t621\t203\t3\n-609\t1023\t99\t225\t206\t183\t7\n-315\t104\t505\t88\t0\t118\t1\n-380\t185\t112\t2\t632\t253\t3\n-709\t491\t332\t198\t232\t159\t9\n-422\t138\t564\t187\t0\t263\t1\n-359\t168\t516\t4\t84\t135\t1\n-766\t1023\t167\t226\t215\t223\t7\n-693\t1023\t201\t291\t238\t121\t7\n-373\t127\t462\t124\t87\t57\t1\n-590\t965\t152\t114\t195\t265\t7\n-582\t375\t413\t171\t121\t232\t9\n-606\t1023\t179\t213\t201\t226\t7\n-358\t96\t63\t164\t593\t283\t3\n-380\t112\t562\t102\t142\t0\t1\n-382\t90\t521\t73\t121\t110\t1\n-351\t95\t540\t0\t178\t127\t1\n-541\t1023\t321\t447\t380\t428\t10\n-331\t176\t497\t172\t0\t141\t1\n-682\t1023\t175\t327\t242\t228\t7\n-378\t114\t532\t148\t0\t135\t1\n-334\t113\t511\t200\t46\t211\t1\n-362\t84\t526\t102\t0\t185\t1\n-791\t1023\t197\t279\t314\t236\t7\n-356\t126\t529\t0\t43\t138\t1\n-696\t1023\t130\t274\t235\t332\t7\n-722\t1023\t190\t260\t250\t237\t7\n-376\t94\t544\t104\t0\t99\t1\n-415\t147\t525\t0\t189\t102\t1\n-641\t950\t91\t250\t244\t212\t7\n-387\t124\t538\t23\t139\t4\t1\n-458\t103\t513\t0\t0\t106\t1\n-414\t126\t86\t95\t567\t171\t3\n-559\t919\t160\t218\t138\t193\t7\n-572\t895\t156\t49\t236\t47\t7\n-381\t111\t510\t93\t0\t95\t1\n-299\t143\t11\t0\t95\t58\t2\n-585\t1023\t197\t221\t216\t193\t7\n-638\t1023\t225\t254\t180\t157\t7\n-369\t162\t540\t81\t0\t56\t1\n-599\t915\t77\t255\t248\t124\t7\n-686\t1023\t89\t257\t217\t232\t7\n-578\t1023\t83\t207\t216\t126\t7\n-364\t120\t503\t0\t153\t225\t1\n-600\t1018\t153\t222\t275\t38\t7\n-383\t192\t101\t229\t624\t224\t3\n-383\t130\t532\t0\t67\t107\t1\n-328\t146\t23\t138\t0\t116\t2\n-272\t75\t99\t154\t220\t133\t2\n-323\t171\t96\t61\t146\t0\t2\n-337\t81\t506\t10\t0\t150\t1\n-290\t151\t0\t0\t106\t159\t2\n-661\t1023\t213\t292\t238\t295\t7\n-590\t1023\t216\t252\t264\t276\t7\n-512\t263\t118\t0\t213\t348\t2\n-315\t126\t502\t269\t48\t98\t1\n-276\t85\t479\t104\t40\t102\t1\n-378\t81\t548\t167\t0\t58\t1\n-387\t154\t0\t190\t656\t362\t3\n-602\t1023\t143\t256\t247\t38\t7\n-341\t142\t530\t7\t89\t46\t1\n-691\t1023\t141\t212\t189\t204\t7\n-576\t1006\t135\t209\t251\t216\t7\n-567\t849\t120\t157\t87\t213\t7\n-705\t1023\t189\t282\t279\t330\t7\n-985\t1023\t421\t292\t257\t220\t13\n-651\t1023\t181\t285\t202\t201\t7\n-693\t1023\t213\t300\t221\t225\t7\n-408\t113\t545\t183\t210\t104\t1\n-418\t143\t545\t0\t82\t126\t1\n-384\t112\t522\t111\t76\t109\t1\n-275\t48\t394\t0\t131\t0\t1\n-359\t113\t42\t80\t600\t163\t3\n-357\t169\t154\t138\t649\t283\t3\n-400\t224\t108\t227\t31\t107\t2\n-346\t88\t82\t84\t196\t98\t2\n-323\t124\t534\t0\t186\t183\t1\n-374\t103\t541\t142\t101\t52\t1\n-380\t105\t508\t170\t126\t313\t1\n-353\t196\t117\t115\t0\t164\t2\n-359\t113\t511\t259\t0\t141\t1\n-377\t137\t558\t11\t0\t14\t1\n-623\t423\t459\t227\t147\t40\t9\n-389\t149\t96\t50\t640\t263\t3\n-543\t1023\t144\t249\t187\t104\t7\n-691\t982\t85\t264\t194\t206\t7\n-627\t1023\t157\t238\t216\t193\t7\n-577\t1023\t165\t258\t299\t198\t7\n-402\t131\t569\t0\t124\t0\t1\n-337\t91\t506\t231\t0\t49\t1\n-636\t870\t91\t227\t96\t172\t7\n-356\t125\t58\t0\t621\t308\t3\n-390\t190\t46\t88\t665\t313\t3\n-351\t68\t529\t86\t0\t56\t1\n-623\t475\t365\t79\t157\t281\t9\n-335\t74\t512\t209\t49\t270\t1\n-496\t194\t105\t202\t427\t25\t2\n-614\t1023\t178\t280\t196\t117\t7\n-381\t84\t545\t101\t0\t140\t1\n-289\t93\t425\t0\t28\t68\t1\n-385\t240\t52\t168\t638\t277\t3\n-322\t162\t103\t0\t52\t61\t2\n-343\t126\t488\t99\t187\t276\t1\n-362\t197\t105\t68\t0\t2\t2\n-378\t99\t527\t0\t0\t116\t1\n-347\t107\t522\t0\t0\t200\t1\n-468\t198\t137\t99\t341\t111\t2\n-572\t967\t57\t255\t159\t220\t7\n-608\t1023\t115\t247\t174\t266\t7\n-637\t1023\t203\t289\t255\t175\t7\n-649\t902\t155\t165\t213\t262\t7\n-322\t148\t0\t187\t87\t115\t2\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/out2.flowscore --- a/run_flock/test-data/out2.flowscore Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,15 +0,0 @@ -Population_ID FSC SSC CD4 CCR3 CD8 CCR7 Count Percentage -1 1 1 3 1 1 1 7351 36.76 -2 1 1 1 1 1 1 2126 10.63 -3 1 1 1 1 3 2 3264 16.32 -4 1 1 2 1 1 1 148 0.74 -5 2 2 3 1 1 2 88 0.44 -6 3 2 3 1 1 2 366 1.83 -7 3 4 1 1 1 1 5562 27.81 -8 1 2 2 3 2 3 37 0.19 -9 3 2 3 1 1 1 398 1.99 -10 2 4 2 2 2 2 292 1.46 -11 2 2 3 4 2 3 14 0.07 -12 2 2 1 1 1 2 40 0.20 -13 4 4 2 2 2 2 157 0.79 -14 4 4 3 2 2 3 156 0.78 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/out3.flowclr --- a/run_flock/test-data/out3.flowclr Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| b'@@ -1,20000 +0,0 @@\n-FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\tPopulation\n-328\t122\t547\t94\t85\t93\t6\n-581\t1023\t143\t235\t270\t106\t7\n-427\t172\t140\t200\t631\t300\t1\n-363\t92\t526\t0\t140\t5\t6\n-416\t113\t485\t22\t157\t226\t4\n-317\t100\t488\t165\t83\t39\t2\n-636\t436\t439\t143\t81\t217\t5\n-262\t49\t395\t0\t42\t171\t6\n-332\t147\t534\t241\t142\t43\t2\n-567\t454\t305\t30\t168\t236\t5\n-333\t138\t104\t0\t612\t225\t1\n-359\t100\t530\t132\t63\t100\t2\n-298\t85\t480\t253\t0\t171\t2\n-392\t123\t90\t176\t623\t182\t1\n-303\t112\t0\t115\t84\t64\t3\n-591\t948\t188\t176\t247\t130\t7\n-687\t535\t422\t301\t156\t230\t5\n-372\t151\t524\t182\t16\t273\t4\n-420\t180\t555\t88\t0\t119\t6\n-401\t182\t104\t76\t103\t138\t3\n-571\t1023\t364\t461\t377\t463\t8\n-398\t169\t92\t126\t668\t312\t1\n-378\t152\t552\t114\t125\t92\t2\n-352\t108\t528\t174\t47\t28\t2\n-714\t391\t449\t0\t210\t257\t5\n-524\t497\t106\t106\t180\t244\t5\n-563\t1023\t366\t471\t397\t460\t8\n-407\t93\t80\t145\t579\t306\t1\n-358\t129\t73\t257\t604\t268\t1\n-1023\t1023\t479\t406\t385\t351\t8\n-1023\t1023\t455\t536\t472\t508\t8\n-474\t172\t563\t0\t160\t111\t6\n-577\t1023\t164\t302\t258\t219\t9\n-348\t73\t521\t212\t0\t142\t2\n-294\t79\t470\t43\t112\t293\t4\n-369\t197\t0\t197\t185\t124\t3\n-389\t121\t71\t179\t637\t297\t1\n-589\t895\t180\t184\t246\t239\t9\n-432\t883\t8\t220\t177\t128\t7\n-601\t1004\t162\t221\t231\t128\t7\n-353\t137\t539\t196\t123\t63\t2\n-357\t127\t40\t203\t520\t174\t1\n-326\t128\t483\t194\t67\t34\t2\n-286\t74\t27\t78\t546\t266\t1\n-394\t158\t130\t82\t596\t314\t1\n-389\t224\t100\t113\t236\t104\t3\n-294\t77\t479\t270\t0\t47\t2\n-556\t946\t156\t211\t299\t177\t7\n-363\t117\t539\t199\t132\t62\t2\n-769\t1023\t189\t288\t291\t28\t7\n-558\t334\t325\t185\t186\t227\t5\n-760\t1023\t181\t271\t239\t258\t9\n-421\t243\t113\t90\t215\t181\t3\n-513\t283\t263\t241\t126\t124\t5\n-686\t935\t227\t267\t223\t109\t7\n-418\t137\t104\t127\t649\t260\t1\n-322\t115\t527\t0\t75\t70\t6\n-563\t1023\t165\t177\t212\t224\t9\n-620\t1023\t238\t267\t176\t206\t9\n-766\t1023\t347\t411\t384\t191\t9\n-378\t159\t41\t186\t637\t245\t1\n-598\t1023\t402\t490\t417\t399\t8\n-349\t142\t0\t191\t643\t286\t1\n-373\t102\t544\t147\t0\t215\t4\n-404\t138\t559\t267\t236\t133\t2\n-277\t47\t486\t242\t61\t120\t2\n-375\t113\t542\t122\t113\t23\t2\n-695\t849\t168\t230\t238\t209\t9\n-466\t185\t569\t184\t112\t238\t4\n-393\t114\t581\t131\t0\t118\t2\n-574\t1023\t127\t275\t245\t207\t9\n-618\t1023\t129\t271\t228\t230\t9\n-605\t1006\t213\t204\t220\t220\t9\n-495\t605\t83\t155\t167\t225\t7\n-716\t807\t131\t269\t126\t129\t7\n-607\t1023\t147\t294\t253\t219\t9\n-392\t236\t484\t237\t29\t106\t2\n-551\t910\t379\t822\t363\t417\t8\n-383\t153\t0\t0\t643\t286\t1\n-1023\t1023\t465\t336\t347\t366\t8\n-316\t233\t31\t209\t140\t307\t3\n-681\t1023\t284\t324\t280\t220\t9\n-418\t143\t553\t171\t98\t195\t4\n-361\t87\t26\t0\t618\t307\t1\n-419\t177\t91\t153\t277\t199\t3\n-598\t984\t87\t260\t246\t263\t9\n-634\t1023\t88\t158\t178\t156\t7\n-595\t1023\t154\t238\t284\t247\t9\n-388\t203\t544\t0\t149\t126\t6\n-354\t159\t504\t210\t0\t152\t2\n-294\t76\t141\t0\t29\t255\t3\n-328\t99\t468\t177\t171\t44\t2\n-283\t128\t463\t112\t0\t126\t2\n-673\t1023\t156\t262\t211\t40\t7\n-409\t115\t515\t217\t52\t193\t4\n-321\t102\t514\t0\t62\t135\t6\n-279\t83\t435\t174\t0\t267\t4\n-565\t1017\t67\t233\t210\t238\t9\n-339\t123\t538\t60\t99\t73\t6\n-343\t148\t44\t134\t615\t235\t1\n-390\t130\t86\t82\t635\t220\t1\n-283\t52\t423\t52\t63\t69\t6\n-548\t843\t101\t49\t239\t133\t7\n-1023\t1023\t307\t345\t357\t285\t9\n-580\t1019\t105\t263\t222\t286\t9\n-597\t1023\t234\t215\t225\t89\t7\n-441\t159\t546\t269\t33\t164\t2\n-330\t101\t531\t0\t59\t14\t6\n-373\t170\t53\t131\t84\t0\t3\n-338\t117\t261\t0\t80\t68\t6\n-398\t155\t144\t123\t616\t223\t1\n-615\t460\t273\t253\t171\t14\t7\n-773\t583\t406\t246\t187\t289\t5\n-369\t121\t556\t167\t0\t175\t4\n-379\t104\t505\t0\t0\t215\t4\n-369\t111\t68\t142\t299\t190\t3\n-358\t102\t552\t190\t18\t169\t2\n-448\t167\t99\t0\t0\t18\t3\n-594\t270\t154\t167\t707\t397\t1\n-501\t193\t147\t0\t39\t199\t3\n-726\t980\t187\t195\t221\t192\t9\n-373\t140\t554\t20\t0\t43\t6\n-423\t152\t116\t0\t591\t142\t1\n-338\t129\t36\t0\t597\t202\t1\n-371\t104\t568\t49\t139\t130\t6\n-353\t112\t550\t48\t0\t95\t6\n-351\t118\t498\t251\t44\t206\t4\n-788\t1023\t124\t266\t221\t278\t9\n-346\t138\t510\t206\t0\t128\t2\n-304\t90\t467\t74\t0\t194\t4\n-655\t530\t275\t285\t246\t309\t5\n-356\t116\t539\t79\t0\t96\t6\n-356\t138\t67\t0\t645\t250\t1\n-656\t1023\t200\t274\t318\t286\t9\n-817\t1023\t155\t266\t240\t173\t9\n-370\t80\t74\t196\t532\t246\t1\n-350\t128\t540\t0\t146\t77\t6\n-691\t1023\t0\t283\t190\t277\t9\n-631\t302\t459\t156\t164\t229\t5\n-645\t285\t388\t205\t187\t196\t5\n-389\t185\t160\t28\t664\t319\t1\n-413\t152\t22\t0\t645\t66\t1\n-464\t230\t97\t170\t164\t109\t3\n-328\t93\t0\t0\t436\t206\t1\n-956\t391\t578\t205\t288\t255\t5\n-335\t141\t520\t103\t21\t155\t4\n-588\t1009\t177\t271\t237\t206\t9\n-427\t132\t549\t1\t68\t270\t4\n-779\t1023\t121\t267\t274\t283\t9\n-599\t933\t192\t228\t173\t256\t9\n-688\t1023\t132\t304\t256\t64\t7\n-333\t79\t493\t123\t8\t128\t2\n-391\t193\t137\t189\t'..b'337\t1\n-611\t290\t261\t179\t206\t256\t5\n-327\t98\t509\t117\t0\t209\t4\n-324\t105\t532\t166\t0\t254\t4\n-373\t216\t73\t334\t81\t154\t3\n-584\t1023\t116\t219\t126\t250\t9\n-351\t125\t540\t214\t0\t196\t4\n-318\t181\t76\t82\t52\t26\t3\n-327\t114\t510\t220\t0\t57\t2\n-945\t1023\t234\t319\t308\t197\t9\n-412\t133\t564\t199\t100\t165\t2\n-436\t259\t502\t164\t64\t155\t2\n-815\t1023\t120\t292\t223\t136\t7\n-810\t1023\t258\t296\t283\t224\t9\n-420\t91\t525\t1\t0\t22\t6\n-443\t198\t555\t129\t156\t245\t4\n-369\t121\t541\t40\t114\t110\t6\n-494\t295\t147\t150\t128\t103\t3\n-637\t1012\t183\t266\t267\t83\t7\n-375\t164\t106\t166\t642\t239\t1\n-394\t199\t75\t76\t597\t272\t1\n-665\t1023\t195\t223\t251\t195\t9\n-362\t107\t551\t10\t0\t0\t6\n-704\t1023\t206\t175\t191\t267\t9\n-338\t97\t464\t139\t106\t176\t4\n-325\t90\t521\t17\t0\t69\t6\n-379\t212\t526\t140\t85\t191\t4\n-424\t163\t565\t27\t190\t98\t6\n-376\t126\t99\t56\t622\t238\t1\n-398\t190\t124\t150\t628\t269\t1\n-349\t113\t80\t76\t648\t202\t1\n-647\t1019\t154\t245\t221\t240\t9\n-791\t1023\t146\t161\t183\t137\t7\n-363\t169\t548\t129\t91\t252\t4\n-433\t248\t99\t159\t152\t225\t3\n-346\t115\t516\t155\t0\t132\t2\n-758\t1023\t195\t258\t269\t230\t9\n-330\t158\t64\t0\t56\t234\t3\n-374\t119\t548\t146\t0\t22\t2\n-362\t211\t550\t232\t0\t214\t4\n-687\t1023\t194\t282\t197\t115\t7\n-489\t209\t0\t144\t262\t43\t3\n-594\t1023\t343\t500\t375\t406\t8\n-329\t130\t535\t11\t49\t98\t6\n-829\t1023\t186\t238\t227\t176\t9\n-326\t178\t44\t182\t621\t203\t1\n-609\t1023\t99\t225\t206\t183\t7\n-315\t104\t505\t88\t0\t118\t6\n-380\t185\t112\t2\t632\t253\t1\n-709\t491\t332\t198\t232\t159\t5\n-422\t138\t564\t187\t0\t263\t4\n-359\t168\t516\t4\t84\t135\t6\n-766\t1023\t167\t226\t215\t223\t9\n-693\t1023\t201\t291\t238\t121\t7\n-373\t127\t462\t124\t87\t57\t2\n-590\t965\t152\t114\t195\t265\t9\n-582\t375\t413\t171\t121\t232\t5\n-606\t1023\t179\t213\t201\t226\t9\n-358\t96\t63\t164\t593\t283\t1\n-380\t112\t562\t102\t142\t0\t6\n-382\t90\t521\t73\t121\t110\t6\n-351\t95\t540\t0\t178\t127\t6\n-541\t1023\t321\t447\t380\t428\t8\n-331\t176\t497\t172\t0\t141\t2\n-682\t1023\t175\t327\t242\t228\t9\n-378\t114\t532\t148\t0\t135\t2\n-334\t113\t511\t200\t46\t211\t4\n-362\t84\t526\t102\t0\t185\t4\n-791\t1023\t197\t279\t314\t236\t9\n-356\t126\t529\t0\t43\t138\t6\n-696\t1023\t130\t274\t235\t332\t9\n-722\t1023\t190\t260\t250\t237\t9\n-376\t94\t544\t104\t0\t99\t6\n-415\t147\t525\t0\t189\t102\t6\n-641\t950\t91\t250\t244\t212\t9\n-387\t124\t538\t23\t139\t4\t6\n-458\t103\t513\t0\t0\t106\t6\n-414\t126\t86\t95\t567\t171\t1\n-559\t919\t160\t218\t138\t193\t7\n-572\t895\t156\t49\t236\t47\t7\n-381\t111\t510\t93\t0\t95\t6\n-299\t143\t11\t0\t95\t58\t3\n-585\t1023\t197\t221\t216\t193\t7\n-638\t1023\t225\t254\t180\t157\t7\n-369\t162\t540\t81\t0\t56\t6\n-599\t915\t77\t255\t248\t124\t7\n-686\t1023\t89\t257\t217\t232\t9\n-578\t1023\t83\t207\t216\t126\t7\n-364\t120\t503\t0\t153\t225\t4\n-600\t1018\t153\t222\t275\t38\t7\n-383\t192\t101\t229\t624\t224\t1\n-383\t130\t532\t0\t67\t107\t6\n-328\t146\t23\t138\t0\t116\t3\n-272\t75\t99\t154\t220\t133\t3\n-323\t171\t96\t61\t146\t0\t3\n-337\t81\t506\t10\t0\t150\t6\n-290\t151\t0\t0\t106\t159\t3\n-661\t1023\t213\t292\t238\t295\t9\n-590\t1023\t216\t252\t264\t276\t9\n-512\t263\t118\t0\t213\t348\t1\n-315\t126\t502\t269\t48\t98\t2\n-276\t85\t479\t104\t40\t102\t6\n-378\t81\t548\t167\t0\t58\t2\n-387\t154\t0\t190\t656\t362\t1\n-602\t1023\t143\t256\t247\t38\t7\n-341\t142\t530\t7\t89\t46\t6\n-691\t1023\t141\t212\t189\t204\t9\n-576\t1006\t135\t209\t251\t216\t9\n-567\t849\t120\t157\t87\t213\t7\n-705\t1023\t189\t282\t279\t330\t9\n-985\t1023\t421\t292\t257\t220\t9\n-651\t1023\t181\t285\t202\t201\t9\n-693\t1023\t213\t300\t221\t225\t9\n-408\t113\t545\t183\t210\t104\t2\n-418\t143\t545\t0\t82\t126\t6\n-384\t112\t522\t111\t76\t109\t2\n-275\t48\t394\t0\t131\t0\t6\n-359\t113\t42\t80\t600\t163\t1\n-357\t169\t154\t138\t649\t283\t1\n-400\t224\t108\t227\t31\t107\t3\n-346\t88\t82\t84\t196\t98\t3\n-323\t124\t534\t0\t186\t183\t6\n-374\t103\t541\t142\t101\t52\t2\n-380\t105\t508\t170\t126\t313\t4\n-353\t196\t117\t115\t0\t164\t3\n-359\t113\t511\t259\t0\t141\t2\n-377\t137\t558\t11\t0\t14\t6\n-623\t423\t459\t227\t147\t40\t5\n-389\t149\t96\t50\t640\t263\t1\n-543\t1023\t144\t249\t187\t104\t7\n-691\t982\t85\t264\t194\t206\t9\n-627\t1023\t157\t238\t216\t193\t7\n-577\t1023\t165\t258\t299\t198\t7\n-402\t131\t569\t0\t124\t0\t6\n-337\t91\t506\t231\t0\t49\t2\n-636\t870\t91\t227\t96\t172\t7\n-356\t125\t58\t0\t621\t308\t1\n-390\t190\t46\t88\t665\t313\t1\n-351\t68\t529\t86\t0\t56\t6\n-623\t475\t365\t79\t157\t281\t5\n-335\t74\t512\t209\t49\t270\t4\n-496\t194\t105\t202\t427\t25\t3\n-614\t1023\t178\t280\t196\t117\t7\n-381\t84\t545\t101\t0\t140\t6\n-289\t93\t425\t0\t28\t68\t6\n-385\t240\t52\t168\t638\t277\t1\n-322\t162\t103\t0\t52\t61\t3\n-343\t126\t488\t99\t187\t276\t4\n-362\t197\t105\t68\t0\t2\t3\n-378\t99\t527\t0\t0\t116\t6\n-347\t107\t522\t0\t0\t200\t4\n-468\t198\t137\t99\t341\t111\t3\n-572\t967\t57\t255\t159\t220\t9\n-608\t1023\t115\t247\t174\t266\t9\n-637\t1023\t203\t289\t255\t175\t7\n-649\t902\t155\t165\t213\t262\t9\n-322\t148\t0\t187\t87\t115\t3\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 run_flock/test-data/out3.flowscore --- a/run_flock/test-data/out3.flowscore Mon Feb 27 13:30:23 2017 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 |
| b |
| @@ -1,10 +0,0 @@ -Population_ID FSC SSC CD4 CCR3 CD8 CCR7 Count Percentage -1 1 1 1 1 3 2 3297 16.49 -2 1 1 3 1 1 1 2695 13.48 -3 1 1 1 1 1 1 2094 10.47 -4 1 1 3 1 1 2 1932 9.66 -5 3 2 3 1 1 2 934 4.67 -6 1 1 3 1 1 1 2852 14.26 -7 2 4 1 1 1 1 2478 12.39 -8 4 4 2 2 2 3 568 2.84 -9 3 4 1 2 1 2 3149 15.75 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 static/images/flock_logo.png |
| b |
| Binary file static/images/flock_logo.png has changed |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/input.flowtext --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/input.flowtext Fri Jul 17 09:06:54 2020 -0400 |
| b |
| b'@@ -0,0 +1,20000 @@\n+FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\n+328\t122\t547\t94\t85\t93\n+581\t1023\t143\t235\t270\t106\n+427\t172\t140\t200\t631\t300\n+363\t92\t526\t0\t140\t5\n+416\t113\t485\t22\t157\t226\n+317\t100\t488\t165\t83\t39\n+636\t436\t439\t143\t81\t217\n+262\t49\t395\t0\t42\t171\n+332\t147\t534\t241\t142\t43\n+567\t454\t305\t30\t168\t236\n+333\t138\t104\t0\t612\t225\n+359\t100\t530\t132\t63\t100\n+298\t85\t480\t253\t0\t171\n+392\t123\t90\t176\t623\t182\n+303\t112\t0\t115\t84\t64\n+591\t948\t188\t176\t247\t130\n+687\t535\t422\t301\t156\t230\n+372\t151\t524\t182\t16\t273\n+420\t180\t555\t88\t0\t119\n+401\t182\t104\t76\t103\t138\n+571\t1023\t364\t461\t377\t463\n+398\t169\t92\t126\t668\t312\n+378\t152\t552\t114\t125\t92\n+352\t108\t528\t174\t47\t28\n+714\t391\t449\t0\t210\t257\n+524\t497\t106\t106\t180\t244\n+563\t1023\t366\t471\t397\t460\n+407\t93\t80\t145\t579\t306\n+358\t129\t73\t257\t604\t268\n+1023\t1023\t479\t406\t385\t351\n+1023\t1023\t455\t536\t472\t508\n+474\t172\t563\t0\t160\t111\n+577\t1023\t164\t302\t258\t219\n+348\t73\t521\t212\t0\t142\n+294\t79\t470\t43\t112\t293\n+369\t197\t0\t197\t185\t124\n+389\t121\t71\t179\t637\t297\n+589\t895\t180\t184\t246\t239\n+432\t883\t8\t220\t177\t128\n+601\t1004\t162\t221\t231\t128\n+353\t137\t539\t196\t123\t63\n+357\t127\t40\t203\t520\t174\n+326\t128\t483\t194\t67\t34\n+286\t74\t27\t78\t546\t266\n+394\t158\t130\t82\t596\t314\n+389\t224\t100\t113\t236\t104\n+294\t77\t479\t270\t0\t47\n+556\t946\t156\t211\t299\t177\n+363\t117\t539\t199\t132\t62\n+769\t1023\t189\t288\t291\t28\n+558\t334\t325\t185\t186\t227\n+760\t1023\t181\t271\t239\t258\n+421\t243\t113\t90\t215\t181\n+513\t283\t263\t241\t126\t124\n+686\t935\t227\t267\t223\t109\n+418\t137\t104\t127\t649\t260\n+322\t115\t527\t0\t75\t70\n+563\t1023\t165\t177\t212\t224\n+620\t1023\t238\t267\t176\t206\n+766\t1023\t347\t411\t384\t191\n+378\t159\t41\t186\t637\t245\n+598\t1023\t402\t490\t417\t399\n+349\t142\t0\t191\t643\t286\n+373\t102\t544\t147\t0\t215\n+404\t138\t559\t267\t236\t133\n+277\t47\t486\t242\t61\t120\n+375\t113\t542\t122\t113\t23\n+695\t849\t168\t230\t238\t209\n+466\t185\t569\t184\t112\t238\n+393\t114\t581\t131\t0\t118\n+574\t1023\t127\t275\t245\t207\n+618\t1023\t129\t271\t228\t230\n+605\t1006\t213\t204\t220\t220\n+495\t605\t83\t155\t167\t225\n+716\t807\t131\t269\t126\t129\n+607\t1023\t147\t294\t253\t219\n+392\t236\t484\t237\t29\t106\n+551\t910\t379\t822\t363\t417\n+383\t153\t0\t0\t643\t286\n+1023\t1023\t465\t336\t347\t366\n+316\t233\t31\t209\t140\t307\n+681\t1023\t284\t324\t280\t220\n+418\t143\t553\t171\t98\t195\n+361\t87\t26\t0\t618\t307\n+419\t177\t91\t153\t277\t199\n+598\t984\t87\t260\t246\t263\n+634\t1023\t88\t158\t178\t156\n+595\t1023\t154\t238\t284\t247\n+388\t203\t544\t0\t149\t126\n+354\t159\t504\t210\t0\t152\n+294\t76\t141\t0\t29\t255\n+328\t99\t468\t177\t171\t44\n+283\t128\t463\t112\t0\t126\n+673\t1023\t156\t262\t211\t40\n+409\t115\t515\t217\t52\t193\n+321\t102\t514\t0\t62\t135\n+279\t83\t435\t174\t0\t267\n+565\t1017\t67\t233\t210\t238\n+339\t123\t538\t60\t99\t73\n+343\t148\t44\t134\t615\t235\n+390\t130\t86\t82\t635\t220\n+283\t52\t423\t52\t63\t69\n+548\t843\t101\t49\t239\t133\n+1023\t1023\t307\t345\t357\t285\n+580\t1019\t105\t263\t222\t286\n+597\t1023\t234\t215\t225\t89\n+441\t159\t546\t269\t33\t164\n+330\t101\t531\t0\t59\t14\n+373\t170\t53\t131\t84\t0\n+338\t117\t261\t0\t80\t68\n+398\t155\t144\t123\t616\t223\n+615\t460\t273\t253\t171\t14\n+773\t583\t406\t246\t187\t289\n+369\t121\t556\t167\t0\t175\n+379\t104\t505\t0\t0\t215\n+369\t111\t68\t142\t299\t190\n+358\t102\t552\t190\t18\t169\n+448\t167\t99\t0\t0\t18\n+594\t270\t154\t167\t707\t397\n+501\t193\t147\t0\t39\t199\n+726\t980\t187\t195\t221\t192\n+373\t140\t554\t20\t0\t43\n+423\t152\t116\t0\t591\t142\n+338\t129\t36\t0\t597\t202\n+371\t104\t568\t49\t139\t130\n+353\t112\t550\t48\t0\t95\n+351\t118\t498\t251\t44\t206\n+788\t1023\t124\t266\t221\t278\n+346\t138\t510\t206\t0\t128\n+304\t90\t467\t74\t0\t194\n+655\t530\t275\t285\t246\t309\n+356\t116\t539\t79\t0\t96\n+356\t138\t67\t0\t645\t250\n+656\t1023\t200\t274\t318\t286\n+817\t1023\t155\t266\t240\t173\n+370\t80\t74\t196\t532\t246\n+350\t128\t540\t0\t146\t77\n+691\t1023\t0\t283\t190\t277\n+631\t302\t459\t156\t164\t229\n+645\t285\t388\t205\t187\t196\n+389\t185\t160\t28\t664\t319\n+413\t152\t22\t0\t645\t66\n+464\t230\t97\t170\t164\t109\n+328\t93\t0\t0\t436\t206\n+956\t391\t578\t205\t288\t255\n+335\t141\t520\t103\t21\t155\n+588\t1009\t177\t271\t237\t206\n+427\t132\t549\t1\t68\t270\n+779\t1023\t121\t267\t274\t283\n+599\t933\t192\t228\t173\t256\n+688\t1023\t132\t304\t256\t64\n+333\t79\t493\t123\t8\t128\n+391\t193\t137\t189\t649\t313\n+371\t166\t102\t125\t124\t227\n+690\t931\t174\t282\t264\t161\n+277\t155\t2\t78\t0\t91\n+430\t131\t545\t72\t155\t316\n+361\t146\t26\t73\t659\t267\n+340\t129\t504\t152\t0\t161\n+357\t152\t59\t65\t569\t205\n+620\t1023\t185\t263\t224\t239\n+691\t503\t359\t13\t179\t298\n+365\t206\t523\t174\t0\t162\n+863\t1023\t179\t286\t250\t171\n+367\t92\t478\t159\t132\t126\n+503\t589\t153\t294\t127\t2'..b'\t1023\t222\t198\t274\t293\n+567\t1023\t356\t437\t355\t441\n+414\t150\t138\t100\t649\t325\n+658\t979\t191\t303\t213\t128\n+721\t1023\t166\t260\t318\t232\n+566\t954\t119\t266\t279\t311\n+383\t190\t512\t211\t131\t125\n+367\t108\t523\t0\t83\t122\n+404\t164\t101\t192\t627\t262\n+402\t140\t175\t129\t545\t249\n+376\t156\t548\t180\t33\t219\n+656\t1023\t122\t250\t290\t130\n+342\t92\t42\t51\t652\t337\n+611\t290\t261\t179\t206\t256\n+327\t98\t509\t117\t0\t209\n+324\t105\t532\t166\t0\t254\n+373\t216\t73\t334\t81\t154\n+584\t1023\t116\t219\t126\t250\n+351\t125\t540\t214\t0\t196\n+318\t181\t76\t82\t52\t26\n+327\t114\t510\t220\t0\t57\n+945\t1023\t234\t319\t308\t197\n+412\t133\t564\t199\t100\t165\n+436\t259\t502\t164\t64\t155\n+815\t1023\t120\t292\t223\t136\n+810\t1023\t258\t296\t283\t224\n+420\t91\t525\t1\t0\t22\n+443\t198\t555\t129\t156\t245\n+369\t121\t541\t40\t114\t110\n+494\t295\t147\t150\t128\t103\n+637\t1012\t183\t266\t267\t83\n+375\t164\t106\t166\t642\t239\n+394\t199\t75\t76\t597\t272\n+665\t1023\t195\t223\t251\t195\n+362\t107\t551\t10\t0\t0\n+704\t1023\t206\t175\t191\t267\n+338\t97\t464\t139\t106\t176\n+325\t90\t521\t17\t0\t69\n+379\t212\t526\t140\t85\t191\n+424\t163\t565\t27\t190\t98\n+376\t126\t99\t56\t622\t238\n+398\t190\t124\t150\t628\t269\n+349\t113\t80\t76\t648\t202\n+647\t1019\t154\t245\t221\t240\n+791\t1023\t146\t161\t183\t137\n+363\t169\t548\t129\t91\t252\n+433\t248\t99\t159\t152\t225\n+346\t115\t516\t155\t0\t132\n+758\t1023\t195\t258\t269\t230\n+330\t158\t64\t0\t56\t234\n+374\t119\t548\t146\t0\t22\n+362\t211\t550\t232\t0\t214\n+687\t1023\t194\t282\t197\t115\n+489\t209\t0\t144\t262\t43\n+594\t1023\t343\t500\t375\t406\n+329\t130\t535\t11\t49\t98\n+829\t1023\t186\t238\t227\t176\n+326\t178\t44\t182\t621\t203\n+609\t1023\t99\t225\t206\t183\n+315\t104\t505\t88\t0\t118\n+380\t185\t112\t2\t632\t253\n+709\t491\t332\t198\t232\t159\n+422\t138\t564\t187\t0\t263\n+359\t168\t516\t4\t84\t135\n+766\t1023\t167\t226\t215\t223\n+693\t1023\t201\t291\t238\t121\n+373\t127\t462\t124\t87\t57\n+590\t965\t152\t114\t195\t265\n+582\t375\t413\t171\t121\t232\n+606\t1023\t179\t213\t201\t226\n+358\t96\t63\t164\t593\t283\n+380\t112\t562\t102\t142\t0\n+382\t90\t521\t73\t121\t110\n+351\t95\t540\t0\t178\t127\n+541\t1023\t321\t447\t380\t428\n+331\t176\t497\t172\t0\t141\n+682\t1023\t175\t327\t242\t228\n+378\t114\t532\t148\t0\t135\n+334\t113\t511\t200\t46\t211\n+362\t84\t526\t102\t0\t185\n+791\t1023\t197\t279\t314\t236\n+356\t126\t529\t0\t43\t138\n+696\t1023\t130\t274\t235\t332\n+722\t1023\t190\t260\t250\t237\n+376\t94\t544\t104\t0\t99\n+415\t147\t525\t0\t189\t102\n+641\t950\t91\t250\t244\t212\n+387\t124\t538\t23\t139\t4\n+458\t103\t513\t0\t0\t106\n+414\t126\t86\t95\t567\t171\n+559\t919\t160\t218\t138\t193\n+572\t895\t156\t49\t236\t47\n+381\t111\t510\t93\t0\t95\n+299\t143\t11\t0\t95\t58\n+585\t1023\t197\t221\t216\t193\n+638\t1023\t225\t254\t180\t157\n+369\t162\t540\t81\t0\t56\n+599\t915\t77\t255\t248\t124\n+686\t1023\t89\t257\t217\t232\n+578\t1023\t83\t207\t216\t126\n+364\t120\t503\t0\t153\t225\n+600\t1018\t153\t222\t275\t38\n+383\t192\t101\t229\t624\t224\n+383\t130\t532\t0\t67\t107\n+328\t146\t23\t138\t0\t116\n+272\t75\t99\t154\t220\t133\n+323\t171\t96\t61\t146\t0\n+337\t81\t506\t10\t0\t150\n+290\t151\t0\t0\t106\t159\n+661\t1023\t213\t292\t238\t295\n+590\t1023\t216\t252\t264\t276\n+512\t263\t118\t0\t213\t348\n+315\t126\t502\t269\t48\t98\n+276\t85\t479\t104\t40\t102\n+378\t81\t548\t167\t0\t58\n+387\t154\t0\t190\t656\t362\n+602\t1023\t143\t256\t247\t38\n+341\t142\t530\t7\t89\t46\n+691\t1023\t141\t212\t189\t204\n+576\t1006\t135\t209\t251\t216\n+567\t849\t120\t157\t87\t213\n+705\t1023\t189\t282\t279\t330\n+985\t1023\t421\t292\t257\t220\n+651\t1023\t181\t285\t202\t201\n+693\t1023\t213\t300\t221\t225\n+408\t113\t545\t183\t210\t104\n+418\t143\t545\t0\t82\t126\n+384\t112\t522\t111\t76\t109\n+275\t48\t394\t0\t131\t0\n+359\t113\t42\t80\t600\t163\n+357\t169\t154\t138\t649\t283\n+400\t224\t108\t227\t31\t107\n+346\t88\t82\t84\t196\t98\n+323\t124\t534\t0\t186\t183\n+374\t103\t541\t142\t101\t52\n+380\t105\t508\t170\t126\t313\n+353\t196\t117\t115\t0\t164\n+359\t113\t511\t259\t0\t141\n+377\t137\t558\t11\t0\t14\n+623\t423\t459\t227\t147\t40\n+389\t149\t96\t50\t640\t263\n+543\t1023\t144\t249\t187\t104\n+691\t982\t85\t264\t194\t206\n+627\t1023\t157\t238\t216\t193\n+577\t1023\t165\t258\t299\t198\n+402\t131\t569\t0\t124\t0\n+337\t91\t506\t231\t0\t49\n+636\t870\t91\t227\t96\t172\n+356\t125\t58\t0\t621\t308\n+390\t190\t46\t88\t665\t313\n+351\t68\t529\t86\t0\t56\n+623\t475\t365\t79\t157\t281\n+335\t74\t512\t209\t49\t270\n+496\t194\t105\t202\t427\t25\n+614\t1023\t178\t280\t196\t117\n+381\t84\t545\t101\t0\t140\n+289\t93\t425\t0\t28\t68\n+385\t240\t52\t168\t638\t277\n+322\t162\t103\t0\t52\t61\n+343\t126\t488\t99\t187\t276\n+362\t197\t105\t68\t0\t2\n+378\t99\t527\t0\t0\t116\n+347\t107\t522\t0\t0\t200\n+468\t198\t137\t99\t341\t111\n+572\t967\t57\t255\t159\t220\n+608\t1023\t115\t247\t174\t266\n+637\t1023\t203\t289\t255\t175\n+649\t902\t155\t165\t213\t262\n+322\t148\t0\t187\t87\t115\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/mfi.flowmfi --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mfi.flowmfi Fri Jul 17 09:06:54 2020 -0400 |
| b |
| @@ -0,0 +1,31 @@ +Population FSC SSC CD4 CCR3 CD8 CCR7 +1 357 117 517 12 57 111 +2 333 152 69 20 69 106 +3 355 174 76 152 79 77 +4 421 381 147 402 140 186 +5 372 124 524 227 51 131 +6 370 150 75 26 618 264 +7 358 118 513 119 57 114 +8 378 207 99 127 120 218 +9 360 121 518 179 51 38 +10 384 158 83 154 620 272 +11 367 152 70 98 583 164 +12 414 146 527 208 71 282 +13 374 126 520 150 57 196 +14 387 184 91 96 338 101 +15 355 118 515 27 58 34 +16 369 124 516 20 70 188 +17 411 147 530 41 86 301 +18 675 453 385 196 184 256 +19 613 988 153 256 222 257 +20 620 986 151 255 224 180 +21 745 1015 190 274 255 261 +22 655 987 153 244 224 70 +23 540 926 347 485 363 413 +24 766 1012 181 267 243 163 +25 966 965 328 323 295 331 +26 650 392 384 179 171 121 +27 612 965 145 152 213 228 +28 578 934 128 172 209 129 +29 979 1010 437 523 406 456 +30 749 858 535 834 564 580 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/mfi2.flowmfi --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mfi2.flowmfi Fri Jul 17 09:06:54 2020 -0400 |
| b |
| @@ -0,0 +1,15 @@ +Population FSC SSC CD4 CCR3 CD8 CCR7 +1 367 123 521 108 59 131 +2 360 183 77 104 121 127 +3 375 154 77 95 610 244 +4 361 129 289 89 84 93 +5 648 399 415 19 173 207 +6 695 472 397 233 188 255 +7 659 980 162 242 229 197 +8 442 383 325 616 334 397 +9 651 402 390 178 171 142 +10 574 983 351 479 362 412 +11 493 634 496 864 562 577 +12 509 341 169 224 161 383 +13 1007 976 326 320 298 306 +14 996 1013 454 536 426 469 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/mfi3.flowmfi --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mfi3.flowmfi Fri Jul 17 09:06:54 2020 -0400 |
| b |
| @@ -0,0 +1,10 @@ +Population FSC SSC CD4 CCR3 CD8 CCR7 +1 375 155 78 95 607 244 +2 366 123 519 189 53 95 +3 357 178 79 99 116 124 +4 387 132 522 110 67 234 +5 653 422 372 195 177 212 +6 357 118 513 28 60 95 +7 630 966 148 227 219 135 +8 724 937 380 497 376 426 +9 694 997 177 257 239 247 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/out1.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out1.flowclr Fri Jul 17 09:06:54 2020 -0400 |
| b |
| b'@@ -0,0 +1,20000 @@\n+FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\tPopulation\n+328\t122\t547\t94\t85\t93\t7\n+581\t1023\t143\t235\t270\t106\t22\n+427\t172\t140\t200\t631\t300\t10\n+363\t92\t526\t0\t140\t5\t15\n+416\t113\t485\t22\t157\t226\t16\n+317\t100\t488\t165\t83\t39\t9\n+636\t436\t439\t143\t81\t217\t18\n+262\t49\t395\t0\t42\t171\t16\n+332\t147\t534\t241\t142\t43\t9\n+567\t454\t305\t30\t168\t236\t18\n+333\t138\t104\t0\t612\t225\t6\n+359\t100\t530\t132\t63\t100\t7\n+298\t85\t480\t253\t0\t171\t5\n+392\t123\t90\t176\t623\t182\t11\n+303\t112\t0\t115\t84\t64\t3\n+591\t948\t188\t176\t247\t130\t28\n+687\t535\t422\t301\t156\t230\t18\n+372\t151\t524\t182\t16\t273\t12\n+420\t180\t555\t88\t0\t119\t7\n+401\t182\t104\t76\t103\t138\t2\n+571\t1023\t364\t461\t377\t463\t23\n+398\t169\t92\t126\t668\t312\t10\n+378\t152\t552\t114\t125\t92\t7\n+352\t108\t528\t174\t47\t28\t9\n+714\t391\t449\t0\t210\t257\t18\n+524\t497\t106\t106\t180\t244\t8\n+563\t1023\t366\t471\t397\t460\t23\n+407\t93\t80\t145\t579\t306\t10\n+358\t129\t73\t257\t604\t268\t10\n+1023\t1023\t479\t406\t385\t351\t25\n+1023\t1023\t455\t536\t472\t508\t29\n+474\t172\t563\t0\t160\t111\t1\n+577\t1023\t164\t302\t258\t219\t19\n+348\t73\t521\t212\t0\t142\t5\n+294\t79\t470\t43\t112\t293\t17\n+369\t197\t0\t197\t185\t124\t3\n+389\t121\t71\t179\t637\t297\t10\n+589\t895\t180\t184\t246\t239\t27\n+432\t883\t8\t220\t177\t128\t28\n+601\t1004\t162\t221\t231\t128\t28\n+353\t137\t539\t196\t123\t63\t9\n+357\t127\t40\t203\t520\t174\t11\n+326\t128\t483\t194\t67\t34\t9\n+286\t74\t27\t78\t546\t266\t6\n+394\t158\t130\t82\t596\t314\t6\n+389\t224\t100\t113\t236\t104\t14\n+294\t77\t479\t270\t0\t47\t9\n+556\t946\t156\t211\t299\t177\t20\n+363\t117\t539\t199\t132\t62\t9\n+769\t1023\t189\t288\t291\t28\t22\n+558\t334\t325\t185\t186\t227\t18\n+760\t1023\t181\t271\t239\t258\t21\n+421\t243\t113\t90\t215\t181\t8\n+513\t283\t263\t241\t126\t124\t26\n+686\t935\t227\t267\t223\t109\t22\n+418\t137\t104\t127\t649\t260\t10\n+322\t115\t527\t0\t75\t70\t15\n+563\t1023\t165\t177\t212\t224\t27\n+620\t1023\t238\t267\t176\t206\t20\n+766\t1023\t347\t411\t384\t191\t24\n+378\t159\t41\t186\t637\t245\t10\n+598\t1023\t402\t490\t417\t399\t23\n+349\t142\t0\t191\t643\t286\t10\n+373\t102\t544\t147\t0\t215\t13\n+404\t138\t559\t267\t236\t133\t5\n+277\t47\t486\t242\t61\t120\t5\n+375\t113\t542\t122\t113\t23\t9\n+695\t849\t168\t230\t238\t209\t20\n+466\t185\t569\t184\t112\t238\t12\n+393\t114\t581\t131\t0\t118\t7\n+574\t1023\t127\t275\t245\t207\t20\n+618\t1023\t129\t271\t228\t230\t19\n+605\t1006\t213\t204\t220\t220\t27\n+495\t605\t83\t155\t167\t225\t27\n+716\t807\t131\t269\t126\t129\t24\n+607\t1023\t147\t294\t253\t219\t19\n+392\t236\t484\t237\t29\t106\t5\n+551\t910\t379\t822\t363\t417\t30\n+383\t153\t0\t0\t643\t286\t6\n+1023\t1023\t465\t336\t347\t366\t25\n+316\t233\t31\t209\t140\t307\t8\n+681\t1023\t284\t324\t280\t220\t21\n+418\t143\t553\t171\t98\t195\t13\n+361\t87\t26\t0\t618\t307\t6\n+419\t177\t91\t153\t277\t199\t8\n+598\t984\t87\t260\t246\t263\t19\n+634\t1023\t88\t158\t178\t156\t28\n+595\t1023\t154\t238\t284\t247\t19\n+388\t203\t544\t0\t149\t126\t1\n+354\t159\t504\t210\t0\t152\t5\n+294\t76\t141\t0\t29\t255\t8\n+328\t99\t468\t177\t171\t44\t9\n+283\t128\t463\t112\t0\t126\t7\n+673\t1023\t156\t262\t211\t40\t22\n+409\t115\t515\t217\t52\t193\t13\n+321\t102\t514\t0\t62\t135\t1\n+279\t83\t435\t174\t0\t267\t12\n+565\t1017\t67\t233\t210\t238\t19\n+339\t123\t538\t60\t99\t73\t15\n+343\t148\t44\t134\t615\t235\t10\n+390\t130\t86\t82\t635\t220\t11\n+283\t52\t423\t52\t63\t69\t15\n+548\t843\t101\t49\t239\t133\t28\n+1023\t1023\t307\t345\t357\t285\t25\n+580\t1019\t105\t263\t222\t286\t19\n+597\t1023\t234\t215\t225\t89\t22\n+441\t159\t546\t269\t33\t164\t5\n+330\t101\t531\t0\t59\t14\t15\n+373\t170\t53\t131\t84\t0\t3\n+338\t117\t261\t0\t80\t68\t2\n+398\t155\t144\t123\t616\t223\t10\n+615\t460\t273\t253\t171\t14\t26\n+773\t583\t406\t246\t187\t289\t18\n+369\t121\t556\t167\t0\t175\t13\n+379\t104\t505\t0\t0\t215\t16\n+369\t111\t68\t142\t299\t190\t8\n+358\t102\t552\t190\t18\t169\t13\n+448\t167\t99\t0\t0\t18\t2\n+594\t270\t154\t167\t707\t397\t10\n+501\t193\t147\t0\t39\t199\t8\n+726\t980\t187\t195\t221\t192\t24\n+373\t140\t554\t20\t0\t43\t15\n+423\t152\t116\t0\t591\t142\t11\n+338\t129\t36\t0\t597\t202\t6\n+371\t104\t568\t49\t139\t130\t1\n+353\t112\t550\t48\t0\t95\t1\n+351\t118\t498\t251\t44\t206\t5\n+788\t1023\t124\t266\t221\t278\t21\n+346\t138\t510\t206\t0\t128\t5\n+304\t90\t467\t74\t0\t194\t16\n+655\t530\t275\t285\t246\t309\t18\n+356\t116\t539\t79\t0\t96\t7\n+356\t138\t67\t0\t645\t250\t6\n+656\t1023\t200\t274\t318\t286\t21\n+817\t1023\t155\t266\t240\t173\t24\n+370\t80\t74\t196\t532\t246\t10\n+350\t128\t540\t0\t146\t77\t1\n+691\t1023\t0\t283\t190\t277\t19\n+631\t302\t459\t156\t164\t229\t18\n+645\t285\t388\t205\t187\t196\t18\n+389\t185\t160\t28\t664\t319\t6\n+413\t152\t22\t0\t645\t66\t11\n+464\t230\t97\t170\t164\t109\t3\n+328\t93\t0\t0\t436\t206\t6\n+956\t391\t578\t205\t288\t255\t18\n+335\t141\t520\t103\t21\t155\t7\n+588\t1009\t177\t271\t237\t206\t20\n+427\t132\t549\t1\t68\t270\t17\n+779\t1023\t121\t267\t274\t283\t21\n+'..b'\t154\t4\n+584\t1023\t116\t219\t126\t250\t19\n+351\t125\t540\t214\t0\t196\t13\n+318\t181\t76\t82\t52\t26\t3\n+327\t114\t510\t220\t0\t57\t9\n+945\t1023\t234\t319\t308\t197\t24\n+412\t133\t564\t199\t100\t165\t5\n+436\t259\t502\t164\t64\t155\t13\n+815\t1023\t120\t292\t223\t136\t24\n+810\t1023\t258\t296\t283\t224\t21\n+420\t91\t525\t1\t0\t22\t15\n+443\t198\t555\t129\t156\t245\t13\n+369\t121\t541\t40\t114\t110\t1\n+494\t295\t147\t150\t128\t103\t3\n+637\t1012\t183\t266\t267\t83\t22\n+375\t164\t106\t166\t642\t239\t10\n+394\t199\t75\t76\t597\t272\t6\n+665\t1023\t195\t223\t251\t195\t20\n+362\t107\t551\t10\t0\t0\t15\n+704\t1023\t206\t175\t191\t267\t27\n+338\t97\t464\t139\t106\t176\t13\n+325\t90\t521\t17\t0\t69\t15\n+379\t212\t526\t140\t85\t191\t13\n+424\t163\t565\t27\t190\t98\t1\n+376\t126\t99\t56\t622\t238\t6\n+398\t190\t124\t150\t628\t269\t10\n+349\t113\t80\t76\t648\t202\t11\n+647\t1019\t154\t245\t221\t240\t19\n+791\t1023\t146\t161\t183\t137\t24\n+363\t169\t548\t129\t91\t252\t13\n+433\t248\t99\t159\t152\t225\t8\n+346\t115\t516\t155\t0\t132\t7\n+758\t1023\t195\t258\t269\t230\t21\n+330\t158\t64\t0\t56\t234\t8\n+374\t119\t548\t146\t0\t22\t9\n+362\t211\t550\t232\t0\t214\t13\n+687\t1023\t194\t282\t197\t115\t22\n+489\t209\t0\t144\t262\t43\t14\n+594\t1023\t343\t500\t375\t406\t23\n+329\t130\t535\t11\t49\t98\t1\n+829\t1023\t186\t238\t227\t176\t24\n+326\t178\t44\t182\t621\t203\t10\n+609\t1023\t99\t225\t206\t183\t20\n+315\t104\t505\t88\t0\t118\t7\n+380\t185\t112\t2\t632\t253\t6\n+709\t491\t332\t198\t232\t159\t26\n+422\t138\t564\t187\t0\t263\t12\n+359\t168\t516\t4\t84\t135\t1\n+766\t1023\t167\t226\t215\t223\t21\n+693\t1023\t201\t291\t238\t121\t24\n+373\t127\t462\t124\t87\t57\t9\n+590\t965\t152\t114\t195\t265\t27\n+582\t375\t413\t171\t121\t232\t18\n+606\t1023\t179\t213\t201\t226\t19\n+358\t96\t63\t164\t593\t283\t10\n+380\t112\t562\t102\t142\t0\t15\n+382\t90\t521\t73\t121\t110\t7\n+351\t95\t540\t0\t178\t127\t1\n+541\t1023\t321\t447\t380\t428\t23\n+331\t176\t497\t172\t0\t141\t5\n+682\t1023\t175\t327\t242\t228\t21\n+378\t114\t532\t148\t0\t135\t7\n+334\t113\t511\t200\t46\t211\t13\n+362\t84\t526\t102\t0\t185\t13\n+791\t1023\t197\t279\t314\t236\t21\n+356\t126\t529\t0\t43\t138\t1\n+696\t1023\t130\t274\t235\t332\t21\n+722\t1023\t190\t260\t250\t237\t21\n+376\t94\t544\t104\t0\t99\t7\n+415\t147\t525\t0\t189\t102\t1\n+641\t950\t91\t250\t244\t212\t20\n+387\t124\t538\t23\t139\t4\t15\n+458\t103\t513\t0\t0\t106\t1\n+414\t126\t86\t95\t567\t171\t11\n+559\t919\t160\t218\t138\t193\t20\n+572\t895\t156\t49\t236\t47\t28\n+381\t111\t510\t93\t0\t95\t7\n+299\t143\t11\t0\t95\t58\t2\n+585\t1023\t197\t221\t216\t193\t20\n+638\t1023\t225\t254\t180\t157\t20\n+369\t162\t540\t81\t0\t56\t15\n+599\t915\t77\t255\t248\t124\t20\n+686\t1023\t89\t257\t217\t232\t19\n+578\t1023\t83\t207\t216\t126\t28\n+364\t120\t503\t0\t153\t225\t16\n+600\t1018\t153\t222\t275\t38\t22\n+383\t192\t101\t229\t624\t224\t10\n+383\t130\t532\t0\t67\t107\t1\n+328\t146\t23\t138\t0\t116\t3\n+272\t75\t99\t154\t220\t133\t3\n+323\t171\t96\t61\t146\t0\t3\n+337\t81\t506\t10\t0\t150\t1\n+290\t151\t0\t0\t106\t159\t2\n+661\t1023\t213\t292\t238\t295\t21\n+590\t1023\t216\t252\t264\t276\t19\n+512\t263\t118\t0\t213\t348\t8\n+315\t126\t502\t269\t48\t98\t5\n+276\t85\t479\t104\t40\t102\t7\n+378\t81\t548\t167\t0\t58\t9\n+387\t154\t0\t190\t656\t362\t10\n+602\t1023\t143\t256\t247\t38\t22\n+341\t142\t530\t7\t89\t46\t15\n+691\t1023\t141\t212\t189\t204\t20\n+576\t1006\t135\t209\t251\t216\t27\n+567\t849\t120\t157\t87\t213\t27\n+705\t1023\t189\t282\t279\t330\t21\n+985\t1023\t421\t292\t257\t220\t25\n+651\t1023\t181\t285\t202\t201\t20\n+693\t1023\t213\t300\t221\t225\t21\n+408\t113\t545\t183\t210\t104\t5\n+418\t143\t545\t0\t82\t126\t1\n+384\t112\t522\t111\t76\t109\t7\n+275\t48\t394\t0\t131\t0\t15\n+359\t113\t42\t80\t600\t163\t11\n+357\t169\t154\t138\t649\t283\t10\n+400\t224\t108\t227\t31\t107\t3\n+346\t88\t82\t84\t196\t98\t14\n+323\t124\t534\t0\t186\t183\t16\n+374\t103\t541\t142\t101\t52\t9\n+380\t105\t508\t170\t126\t313\t12\n+353\t196\t117\t115\t0\t164\t8\n+359\t113\t511\t259\t0\t141\t5\n+377\t137\t558\t11\t0\t14\t15\n+623\t423\t459\t227\t147\t40\t26\n+389\t149\t96\t50\t640\t263\t6\n+543\t1023\t144\t249\t187\t104\t28\n+691\t982\t85\t264\t194\t206\t20\n+627\t1023\t157\t238\t216\t193\t20\n+577\t1023\t165\t258\t299\t198\t20\n+402\t131\t569\t0\t124\t0\t15\n+337\t91\t506\t231\t0\t49\t9\n+636\t870\t91\t227\t96\t172\t20\n+356\t125\t58\t0\t621\t308\t6\n+390\t190\t46\t88\t665\t313\t10\n+351\t68\t529\t86\t0\t56\t15\n+623\t475\t365\t79\t157\t281\t18\n+335\t74\t512\t209\t49\t270\t12\n+496\t194\t105\t202\t427\t25\t14\n+614\t1023\t178\t280\t196\t117\t22\n+381\t84\t545\t101\t0\t140\t7\n+289\t93\t425\t0\t28\t68\t15\n+385\t240\t52\t168\t638\t277\t10\n+322\t162\t103\t0\t52\t61\t2\n+343\t126\t488\t99\t187\t276\t17\n+362\t197\t105\t68\t0\t2\t3\n+378\t99\t527\t0\t0\t116\t1\n+347\t107\t522\t0\t0\t200\t16\n+468\t198\t137\t99\t341\t111\t14\n+572\t967\t57\t255\t159\t220\t19\n+608\t1023\t115\t247\t174\t266\t19\n+637\t1023\t203\t289\t255\t175\t20\n+649\t902\t155\t165\t213\t262\t27\n+322\t148\t0\t187\t87\t115\t3\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/out1.flowscore --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out1.flowscore Fri Jul 17 09:06:54 2020 -0400 |
| b |
| @@ -0,0 +1,31 @@ +Population_ID FSC SSC CD4 CCR3 CD8 CCR7 Count Percentage +1 1 1 3 1 1 1 1093 5.47 +2 1 1 1 1 1 1 695 3.48 +3 1 1 1 1 1 1 574 2.87 +4 1 2 1 2 1 1 146 0.73 +5 1 1 3 1 1 1 982 4.91 +6 1 1 1 1 3 2 1212 6.06 +7 1 1 3 1 1 1 1055 5.28 +8 1 1 1 1 1 1 578 2.89 +9 1 1 3 1 1 1 986 4.93 +10 1 1 1 1 3 2 1326 6.63 +11 1 1 1 1 3 1 693 3.47 +12 1 1 3 1 1 2 368 1.84 +13 1 1 3 1 1 1 841 4.21 +14 1 1 1 1 2 1 315 1.58 +15 1 1 3 1 1 1 879 4.40 +16 1 1 3 1 1 1 911 4.56 +17 1 1 3 1 1 2 323 1.62 +18 3 2 3 1 1 2 522 2.61 +19 2 4 1 1 1 2 1003 5.02 +20 2 4 1 1 1 1 1081 5.41 +21 3 4 1 2 2 2 947 4.74 +22 3 4 1 1 1 1 597 2.99 +23 2 4 2 2 2 3 297 1.49 +24 3 4 1 2 1 1 699 3.50 +25 4 4 2 2 2 2 289 1.45 +26 3 2 3 1 1 1 364 1.82 +27 2 4 1 1 1 2 586 2.93 +28 2 4 1 1 1 1 485 2.43 +29 4 4 3 2 2 3 106 0.53 +30 4 4 3 4 2 3 46 0.23 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/out2.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out2.flowclr Fri Jul 17 09:06:54 2020 -0400 |
| b |
| b'@@ -0,0 +1,20000 @@\n+FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\tPopulation\n+328\t122\t547\t94\t85\t93\t1\n+581\t1023\t143\t235\t270\t106\t7\n+427\t172\t140\t200\t631\t300\t3\n+363\t92\t526\t0\t140\t5\t1\n+416\t113\t485\t22\t157\t226\t1\n+317\t100\t488\t165\t83\t39\t1\n+636\t436\t439\t143\t81\t217\t9\n+262\t49\t395\t0\t42\t171\t1\n+332\t147\t534\t241\t142\t43\t1\n+567\t454\t305\t30\t168\t236\t5\n+333\t138\t104\t0\t612\t225\t3\n+359\t100\t530\t132\t63\t100\t1\n+298\t85\t480\t253\t0\t171\t1\n+392\t123\t90\t176\t623\t182\t3\n+303\t112\t0\t115\t84\t64\t2\n+591\t948\t188\t176\t247\t130\t7\n+687\t535\t422\t301\t156\t230\t6\n+372\t151\t524\t182\t16\t273\t1\n+420\t180\t555\t88\t0\t119\t1\n+401\t182\t104\t76\t103\t138\t2\n+571\t1023\t364\t461\t377\t463\t10\n+398\t169\t92\t126\t668\t312\t3\n+378\t152\t552\t114\t125\t92\t1\n+352\t108\t528\t174\t47\t28\t1\n+714\t391\t449\t0\t210\t257\t5\n+524\t497\t106\t106\t180\t244\t2\n+563\t1023\t366\t471\t397\t460\t10\n+407\t93\t80\t145\t579\t306\t3\n+358\t129\t73\t257\t604\t268\t3\n+1023\t1023\t479\t406\t385\t351\t14\n+1023\t1023\t455\t536\t472\t508\t14\n+474\t172\t563\t0\t160\t111\t1\n+577\t1023\t164\t302\t258\t219\t7\n+348\t73\t521\t212\t0\t142\t1\n+294\t79\t470\t43\t112\t293\t1\n+369\t197\t0\t197\t185\t124\t2\n+389\t121\t71\t179\t637\t297\t3\n+589\t895\t180\t184\t246\t239\t7\n+432\t883\t8\t220\t177\t128\t7\n+601\t1004\t162\t221\t231\t128\t7\n+353\t137\t539\t196\t123\t63\t1\n+357\t127\t40\t203\t520\t174\t3\n+326\t128\t483\t194\t67\t34\t1\n+286\t74\t27\t78\t546\t266\t3\n+394\t158\t130\t82\t596\t314\t3\n+389\t224\t100\t113\t236\t104\t2\n+294\t77\t479\t270\t0\t47\t1\n+556\t946\t156\t211\t299\t177\t7\n+363\t117\t539\t199\t132\t62\t1\n+769\t1023\t189\t288\t291\t28\t7\n+558\t334\t325\t185\t186\t227\t6\n+760\t1023\t181\t271\t239\t258\t7\n+421\t243\t113\t90\t215\t181\t2\n+513\t283\t263\t241\t126\t124\t9\n+686\t935\t227\t267\t223\t109\t7\n+418\t137\t104\t127\t649\t260\t3\n+322\t115\t527\t0\t75\t70\t1\n+563\t1023\t165\t177\t212\t224\t7\n+620\t1023\t238\t267\t176\t206\t7\n+766\t1023\t347\t411\t384\t191\t7\n+378\t159\t41\t186\t637\t245\t3\n+598\t1023\t402\t490\t417\t399\t10\n+349\t142\t0\t191\t643\t286\t3\n+373\t102\t544\t147\t0\t215\t1\n+404\t138\t559\t267\t236\t133\t1\n+277\t47\t486\t242\t61\t120\t1\n+375\t113\t542\t122\t113\t23\t1\n+695\t849\t168\t230\t238\t209\t7\n+466\t185\t569\t184\t112\t238\t1\n+393\t114\t581\t131\t0\t118\t1\n+574\t1023\t127\t275\t245\t207\t7\n+618\t1023\t129\t271\t228\t230\t7\n+605\t1006\t213\t204\t220\t220\t7\n+495\t605\t83\t155\t167\t225\t7\n+716\t807\t131\t269\t126\t129\t7\n+607\t1023\t147\t294\t253\t219\t7\n+392\t236\t484\t237\t29\t106\t1\n+551\t910\t379\t822\t363\t417\t11\n+383\t153\t0\t0\t643\t286\t3\n+1023\t1023\t465\t336\t347\t366\t13\n+316\t233\t31\t209\t140\t307\t2\n+681\t1023\t284\t324\t280\t220\t7\n+418\t143\t553\t171\t98\t195\t1\n+361\t87\t26\t0\t618\t307\t3\n+419\t177\t91\t153\t277\t199\t2\n+598\t984\t87\t260\t246\t263\t7\n+634\t1023\t88\t158\t178\t156\t7\n+595\t1023\t154\t238\t284\t247\t7\n+388\t203\t544\t0\t149\t126\t1\n+354\t159\t504\t210\t0\t152\t1\n+294\t76\t141\t0\t29\t255\t2\n+328\t99\t468\t177\t171\t44\t1\n+283\t128\t463\t112\t0\t126\t1\n+673\t1023\t156\t262\t211\t40\t7\n+409\t115\t515\t217\t52\t193\t1\n+321\t102\t514\t0\t62\t135\t1\n+279\t83\t435\t174\t0\t267\t1\n+565\t1017\t67\t233\t210\t238\t7\n+339\t123\t538\t60\t99\t73\t1\n+343\t148\t44\t134\t615\t235\t3\n+390\t130\t86\t82\t635\t220\t3\n+283\t52\t423\t52\t63\t69\t1\n+548\t843\t101\t49\t239\t133\t7\n+1023\t1023\t307\t345\t357\t285\t13\n+580\t1019\t105\t263\t222\t286\t7\n+597\t1023\t234\t215\t225\t89\t7\n+441\t159\t546\t269\t33\t164\t1\n+330\t101\t531\t0\t59\t14\t1\n+373\t170\t53\t131\t84\t0\t2\n+338\t117\t261\t0\t80\t68\t4\n+398\t155\t144\t123\t616\t223\t3\n+615\t460\t273\t253\t171\t14\t9\n+773\t583\t406\t246\t187\t289\t6\n+369\t121\t556\t167\t0\t175\t1\n+379\t104\t505\t0\t0\t215\t1\n+369\t111\t68\t142\t299\t190\t2\n+358\t102\t552\t190\t18\t169\t1\n+448\t167\t99\t0\t0\t18\t2\n+594\t270\t154\t167\t707\t397\t3\n+501\t193\t147\t0\t39\t199\t2\n+726\t980\t187\t195\t221\t192\t7\n+373\t140\t554\t20\t0\t43\t1\n+423\t152\t116\t0\t591\t142\t3\n+338\t129\t36\t0\t597\t202\t3\n+371\t104\t568\t49\t139\t130\t1\n+353\t112\t550\t48\t0\t95\t1\n+351\t118\t498\t251\t44\t206\t1\n+788\t1023\t124\t266\t221\t278\t7\n+346\t138\t510\t206\t0\t128\t1\n+304\t90\t467\t74\t0\t194\t1\n+655\t530\t275\t285\t246\t309\t6\n+356\t116\t539\t79\t0\t96\t1\n+356\t138\t67\t0\t645\t250\t3\n+656\t1023\t200\t274\t318\t286\t7\n+817\t1023\t155\t266\t240\t173\t7\n+370\t80\t74\t196\t532\t246\t3\n+350\t128\t540\t0\t146\t77\t1\n+691\t1023\t0\t283\t190\t277\t7\n+631\t302\t459\t156\t164\t229\t9\n+645\t285\t388\t205\t187\t196\t6\n+389\t185\t160\t28\t664\t319\t3\n+413\t152\t22\t0\t645\t66\t3\n+464\t230\t97\t170\t164\t109\t2\n+328\t93\t0\t0\t436\t206\t3\n+956\t391\t578\t205\t288\t255\t6\n+335\t141\t520\t103\t21\t155\t1\n+588\t1009\t177\t271\t237\t206\t7\n+427\t132\t549\t1\t68\t270\t1\n+779\t1023\t121\t267\t274\t283\t7\n+599\t933\t192\t228\t173\t256\t7\n+688\t1023\t132\t304\t256\t64\t7\n+333\t79\t493\t123\t8\t128\t1\n+391\t193\t'..b'3\n+611\t290\t261\t179\t206\t256\t6\n+327\t98\t509\t117\t0\t209\t1\n+324\t105\t532\t166\t0\t254\t1\n+373\t216\t73\t334\t81\t154\t2\n+584\t1023\t116\t219\t126\t250\t7\n+351\t125\t540\t214\t0\t196\t1\n+318\t181\t76\t82\t52\t26\t2\n+327\t114\t510\t220\t0\t57\t1\n+945\t1023\t234\t319\t308\t197\t13\n+412\t133\t564\t199\t100\t165\t1\n+436\t259\t502\t164\t64\t155\t1\n+815\t1023\t120\t292\t223\t136\t7\n+810\t1023\t258\t296\t283\t224\t7\n+420\t91\t525\t1\t0\t22\t1\n+443\t198\t555\t129\t156\t245\t1\n+369\t121\t541\t40\t114\t110\t1\n+494\t295\t147\t150\t128\t103\t2\n+637\t1012\t183\t266\t267\t83\t7\n+375\t164\t106\t166\t642\t239\t3\n+394\t199\t75\t76\t597\t272\t3\n+665\t1023\t195\t223\t251\t195\t7\n+362\t107\t551\t10\t0\t0\t1\n+704\t1023\t206\t175\t191\t267\t7\n+338\t97\t464\t139\t106\t176\t1\n+325\t90\t521\t17\t0\t69\t1\n+379\t212\t526\t140\t85\t191\t1\n+424\t163\t565\t27\t190\t98\t1\n+376\t126\t99\t56\t622\t238\t3\n+398\t190\t124\t150\t628\t269\t3\n+349\t113\t80\t76\t648\t202\t3\n+647\t1019\t154\t245\t221\t240\t7\n+791\t1023\t146\t161\t183\t137\t7\n+363\t169\t548\t129\t91\t252\t1\n+433\t248\t99\t159\t152\t225\t2\n+346\t115\t516\t155\t0\t132\t1\n+758\t1023\t195\t258\t269\t230\t7\n+330\t158\t64\t0\t56\t234\t2\n+374\t119\t548\t146\t0\t22\t1\n+362\t211\t550\t232\t0\t214\t1\n+687\t1023\t194\t282\t197\t115\t7\n+489\t209\t0\t144\t262\t43\t2\n+594\t1023\t343\t500\t375\t406\t10\n+329\t130\t535\t11\t49\t98\t1\n+829\t1023\t186\t238\t227\t176\t7\n+326\t178\t44\t182\t621\t203\t3\n+609\t1023\t99\t225\t206\t183\t7\n+315\t104\t505\t88\t0\t118\t1\n+380\t185\t112\t2\t632\t253\t3\n+709\t491\t332\t198\t232\t159\t9\n+422\t138\t564\t187\t0\t263\t1\n+359\t168\t516\t4\t84\t135\t1\n+766\t1023\t167\t226\t215\t223\t7\n+693\t1023\t201\t291\t238\t121\t7\n+373\t127\t462\t124\t87\t57\t1\n+590\t965\t152\t114\t195\t265\t7\n+582\t375\t413\t171\t121\t232\t9\n+606\t1023\t179\t213\t201\t226\t7\n+358\t96\t63\t164\t593\t283\t3\n+380\t112\t562\t102\t142\t0\t1\n+382\t90\t521\t73\t121\t110\t1\n+351\t95\t540\t0\t178\t127\t1\n+541\t1023\t321\t447\t380\t428\t10\n+331\t176\t497\t172\t0\t141\t1\n+682\t1023\t175\t327\t242\t228\t7\n+378\t114\t532\t148\t0\t135\t1\n+334\t113\t511\t200\t46\t211\t1\n+362\t84\t526\t102\t0\t185\t1\n+791\t1023\t197\t279\t314\t236\t7\n+356\t126\t529\t0\t43\t138\t1\n+696\t1023\t130\t274\t235\t332\t7\n+722\t1023\t190\t260\t250\t237\t7\n+376\t94\t544\t104\t0\t99\t1\n+415\t147\t525\t0\t189\t102\t1\n+641\t950\t91\t250\t244\t212\t7\n+387\t124\t538\t23\t139\t4\t1\n+458\t103\t513\t0\t0\t106\t1\n+414\t126\t86\t95\t567\t171\t3\n+559\t919\t160\t218\t138\t193\t7\n+572\t895\t156\t49\t236\t47\t7\n+381\t111\t510\t93\t0\t95\t1\n+299\t143\t11\t0\t95\t58\t2\n+585\t1023\t197\t221\t216\t193\t7\n+638\t1023\t225\t254\t180\t157\t7\n+369\t162\t540\t81\t0\t56\t1\n+599\t915\t77\t255\t248\t124\t7\n+686\t1023\t89\t257\t217\t232\t7\n+578\t1023\t83\t207\t216\t126\t7\n+364\t120\t503\t0\t153\t225\t1\n+600\t1018\t153\t222\t275\t38\t7\n+383\t192\t101\t229\t624\t224\t3\n+383\t130\t532\t0\t67\t107\t1\n+328\t146\t23\t138\t0\t116\t2\n+272\t75\t99\t154\t220\t133\t2\n+323\t171\t96\t61\t146\t0\t2\n+337\t81\t506\t10\t0\t150\t1\n+290\t151\t0\t0\t106\t159\t2\n+661\t1023\t213\t292\t238\t295\t7\n+590\t1023\t216\t252\t264\t276\t7\n+512\t263\t118\t0\t213\t348\t2\n+315\t126\t502\t269\t48\t98\t1\n+276\t85\t479\t104\t40\t102\t1\n+378\t81\t548\t167\t0\t58\t1\n+387\t154\t0\t190\t656\t362\t3\n+602\t1023\t143\t256\t247\t38\t7\n+341\t142\t530\t7\t89\t46\t1\n+691\t1023\t141\t212\t189\t204\t7\n+576\t1006\t135\t209\t251\t216\t7\n+567\t849\t120\t157\t87\t213\t7\n+705\t1023\t189\t282\t279\t330\t7\n+985\t1023\t421\t292\t257\t220\t13\n+651\t1023\t181\t285\t202\t201\t7\n+693\t1023\t213\t300\t221\t225\t7\n+408\t113\t545\t183\t210\t104\t1\n+418\t143\t545\t0\t82\t126\t1\n+384\t112\t522\t111\t76\t109\t1\n+275\t48\t394\t0\t131\t0\t1\n+359\t113\t42\t80\t600\t163\t3\n+357\t169\t154\t138\t649\t283\t3\n+400\t224\t108\t227\t31\t107\t2\n+346\t88\t82\t84\t196\t98\t2\n+323\t124\t534\t0\t186\t183\t1\n+374\t103\t541\t142\t101\t52\t1\n+380\t105\t508\t170\t126\t313\t1\n+353\t196\t117\t115\t0\t164\t2\n+359\t113\t511\t259\t0\t141\t1\n+377\t137\t558\t11\t0\t14\t1\n+623\t423\t459\t227\t147\t40\t9\n+389\t149\t96\t50\t640\t263\t3\n+543\t1023\t144\t249\t187\t104\t7\n+691\t982\t85\t264\t194\t206\t7\n+627\t1023\t157\t238\t216\t193\t7\n+577\t1023\t165\t258\t299\t198\t7\n+402\t131\t569\t0\t124\t0\t1\n+337\t91\t506\t231\t0\t49\t1\n+636\t870\t91\t227\t96\t172\t7\n+356\t125\t58\t0\t621\t308\t3\n+390\t190\t46\t88\t665\t313\t3\n+351\t68\t529\t86\t0\t56\t1\n+623\t475\t365\t79\t157\t281\t9\n+335\t74\t512\t209\t49\t270\t1\n+496\t194\t105\t202\t427\t25\t2\n+614\t1023\t178\t280\t196\t117\t7\n+381\t84\t545\t101\t0\t140\t1\n+289\t93\t425\t0\t28\t68\t1\n+385\t240\t52\t168\t638\t277\t3\n+322\t162\t103\t0\t52\t61\t2\n+343\t126\t488\t99\t187\t276\t1\n+362\t197\t105\t68\t0\t2\t2\n+378\t99\t527\t0\t0\t116\t1\n+347\t107\t522\t0\t0\t200\t1\n+468\t198\t137\t99\t341\t111\t2\n+572\t967\t57\t255\t159\t220\t7\n+608\t1023\t115\t247\t174\t266\t7\n+637\t1023\t203\t289\t255\t175\t7\n+649\t902\t155\t165\t213\t262\t7\n+322\t148\t0\t187\t87\t115\t2\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/out2.flowscore --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out2.flowscore Fri Jul 17 09:06:54 2020 -0400 |
| b |
| @@ -0,0 +1,15 @@ +Population_ID FSC SSC CD4 CCR3 CD8 CCR7 Count Percentage +1 1 1 3 1 1 1 7351 36.76 +2 1 1 1 1 1 1 2126 10.63 +3 1 1 1 1 3 2 3264 16.32 +4 1 1 2 1 1 1 148 0.74 +5 2 2 3 1 1 2 88 0.44 +6 3 2 3 1 1 2 366 1.83 +7 3 4 1 1 1 1 5562 27.81 +8 1 2 2 3 2 3 37 0.19 +9 3 2 3 1 1 1 398 1.99 +10 2 4 2 2 2 2 292 1.46 +11 2 2 3 4 2 3 14 0.07 +12 2 2 1 1 1 2 40 0.20 +13 4 4 2 2 2 2 157 0.79 +14 4 4 3 2 2 3 156 0.78 |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/out3.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out3.flowclr Fri Jul 17 09:06:54 2020 -0400 |
| b |
| b'@@ -0,0 +1,20000 @@\n+FSC\tSSC\tCD4\tCCR3\tCD8\tCCR7\tPopulation\n+328\t122\t547\t94\t85\t93\t6\n+581\t1023\t143\t235\t270\t106\t7\n+427\t172\t140\t200\t631\t300\t1\n+363\t92\t526\t0\t140\t5\t6\n+416\t113\t485\t22\t157\t226\t4\n+317\t100\t488\t165\t83\t39\t2\n+636\t436\t439\t143\t81\t217\t5\n+262\t49\t395\t0\t42\t171\t6\n+332\t147\t534\t241\t142\t43\t2\n+567\t454\t305\t30\t168\t236\t5\n+333\t138\t104\t0\t612\t225\t1\n+359\t100\t530\t132\t63\t100\t2\n+298\t85\t480\t253\t0\t171\t2\n+392\t123\t90\t176\t623\t182\t1\n+303\t112\t0\t115\t84\t64\t3\n+591\t948\t188\t176\t247\t130\t7\n+687\t535\t422\t301\t156\t230\t5\n+372\t151\t524\t182\t16\t273\t4\n+420\t180\t555\t88\t0\t119\t6\n+401\t182\t104\t76\t103\t138\t3\n+571\t1023\t364\t461\t377\t463\t8\n+398\t169\t92\t126\t668\t312\t1\n+378\t152\t552\t114\t125\t92\t2\n+352\t108\t528\t174\t47\t28\t2\n+714\t391\t449\t0\t210\t257\t5\n+524\t497\t106\t106\t180\t244\t5\n+563\t1023\t366\t471\t397\t460\t8\n+407\t93\t80\t145\t579\t306\t1\n+358\t129\t73\t257\t604\t268\t1\n+1023\t1023\t479\t406\t385\t351\t8\n+1023\t1023\t455\t536\t472\t508\t8\n+474\t172\t563\t0\t160\t111\t6\n+577\t1023\t164\t302\t258\t219\t9\n+348\t73\t521\t212\t0\t142\t2\n+294\t79\t470\t43\t112\t293\t4\n+369\t197\t0\t197\t185\t124\t3\n+389\t121\t71\t179\t637\t297\t1\n+589\t895\t180\t184\t246\t239\t9\n+432\t883\t8\t220\t177\t128\t7\n+601\t1004\t162\t221\t231\t128\t7\n+353\t137\t539\t196\t123\t63\t2\n+357\t127\t40\t203\t520\t174\t1\n+326\t128\t483\t194\t67\t34\t2\n+286\t74\t27\t78\t546\t266\t1\n+394\t158\t130\t82\t596\t314\t1\n+389\t224\t100\t113\t236\t104\t3\n+294\t77\t479\t270\t0\t47\t2\n+556\t946\t156\t211\t299\t177\t7\n+363\t117\t539\t199\t132\t62\t2\n+769\t1023\t189\t288\t291\t28\t7\n+558\t334\t325\t185\t186\t227\t5\n+760\t1023\t181\t271\t239\t258\t9\n+421\t243\t113\t90\t215\t181\t3\n+513\t283\t263\t241\t126\t124\t5\n+686\t935\t227\t267\t223\t109\t7\n+418\t137\t104\t127\t649\t260\t1\n+322\t115\t527\t0\t75\t70\t6\n+563\t1023\t165\t177\t212\t224\t9\n+620\t1023\t238\t267\t176\t206\t9\n+766\t1023\t347\t411\t384\t191\t9\n+378\t159\t41\t186\t637\t245\t1\n+598\t1023\t402\t490\t417\t399\t8\n+349\t142\t0\t191\t643\t286\t1\n+373\t102\t544\t147\t0\t215\t4\n+404\t138\t559\t267\t236\t133\t2\n+277\t47\t486\t242\t61\t120\t2\n+375\t113\t542\t122\t113\t23\t2\n+695\t849\t168\t230\t238\t209\t9\n+466\t185\t569\t184\t112\t238\t4\n+393\t114\t581\t131\t0\t118\t2\n+574\t1023\t127\t275\t245\t207\t9\n+618\t1023\t129\t271\t228\t230\t9\n+605\t1006\t213\t204\t220\t220\t9\n+495\t605\t83\t155\t167\t225\t7\n+716\t807\t131\t269\t126\t129\t7\n+607\t1023\t147\t294\t253\t219\t9\n+392\t236\t484\t237\t29\t106\t2\n+551\t910\t379\t822\t363\t417\t8\n+383\t153\t0\t0\t643\t286\t1\n+1023\t1023\t465\t336\t347\t366\t8\n+316\t233\t31\t209\t140\t307\t3\n+681\t1023\t284\t324\t280\t220\t9\n+418\t143\t553\t171\t98\t195\t4\n+361\t87\t26\t0\t618\t307\t1\n+419\t177\t91\t153\t277\t199\t3\n+598\t984\t87\t260\t246\t263\t9\n+634\t1023\t88\t158\t178\t156\t7\n+595\t1023\t154\t238\t284\t247\t9\n+388\t203\t544\t0\t149\t126\t6\n+354\t159\t504\t210\t0\t152\t2\n+294\t76\t141\t0\t29\t255\t3\n+328\t99\t468\t177\t171\t44\t2\n+283\t128\t463\t112\t0\t126\t2\n+673\t1023\t156\t262\t211\t40\t7\n+409\t115\t515\t217\t52\t193\t4\n+321\t102\t514\t0\t62\t135\t6\n+279\t83\t435\t174\t0\t267\t4\n+565\t1017\t67\t233\t210\t238\t9\n+339\t123\t538\t60\t99\t73\t6\n+343\t148\t44\t134\t615\t235\t1\n+390\t130\t86\t82\t635\t220\t1\n+283\t52\t423\t52\t63\t69\t6\n+548\t843\t101\t49\t239\t133\t7\n+1023\t1023\t307\t345\t357\t285\t9\n+580\t1019\t105\t263\t222\t286\t9\n+597\t1023\t234\t215\t225\t89\t7\n+441\t159\t546\t269\t33\t164\t2\n+330\t101\t531\t0\t59\t14\t6\n+373\t170\t53\t131\t84\t0\t3\n+338\t117\t261\t0\t80\t68\t6\n+398\t155\t144\t123\t616\t223\t1\n+615\t460\t273\t253\t171\t14\t7\n+773\t583\t406\t246\t187\t289\t5\n+369\t121\t556\t167\t0\t175\t4\n+379\t104\t505\t0\t0\t215\t4\n+369\t111\t68\t142\t299\t190\t3\n+358\t102\t552\t190\t18\t169\t2\n+448\t167\t99\t0\t0\t18\t3\n+594\t270\t154\t167\t707\t397\t1\n+501\t193\t147\t0\t39\t199\t3\n+726\t980\t187\t195\t221\t192\t9\n+373\t140\t554\t20\t0\t43\t6\n+423\t152\t116\t0\t591\t142\t1\n+338\t129\t36\t0\t597\t202\t1\n+371\t104\t568\t49\t139\t130\t6\n+353\t112\t550\t48\t0\t95\t6\n+351\t118\t498\t251\t44\t206\t4\n+788\t1023\t124\t266\t221\t278\t9\n+346\t138\t510\t206\t0\t128\t2\n+304\t90\t467\t74\t0\t194\t4\n+655\t530\t275\t285\t246\t309\t5\n+356\t116\t539\t79\t0\t96\t6\n+356\t138\t67\t0\t645\t250\t1\n+656\t1023\t200\t274\t318\t286\t9\n+817\t1023\t155\t266\t240\t173\t9\n+370\t80\t74\t196\t532\t246\t1\n+350\t128\t540\t0\t146\t77\t6\n+691\t1023\t0\t283\t190\t277\t9\n+631\t302\t459\t156\t164\t229\t5\n+645\t285\t388\t205\t187\t196\t5\n+389\t185\t160\t28\t664\t319\t1\n+413\t152\t22\t0\t645\t66\t1\n+464\t230\t97\t170\t164\t109\t3\n+328\t93\t0\t0\t436\t206\t1\n+956\t391\t578\t205\t288\t255\t5\n+335\t141\t520\t103\t21\t155\t4\n+588\t1009\t177\t271\t237\t206\t9\n+427\t132\t549\t1\t68\t270\t4\n+779\t1023\t121\t267\t274\t283\t9\n+599\t933\t192\t228\t173\t256\t9\n+688\t1023\t132\t304\t256\t64\t7\n+333\t79\t493\t123\t8\t128\t2\n+391\t193\t137\t189\t'..b'337\t1\n+611\t290\t261\t179\t206\t256\t5\n+327\t98\t509\t117\t0\t209\t4\n+324\t105\t532\t166\t0\t254\t4\n+373\t216\t73\t334\t81\t154\t3\n+584\t1023\t116\t219\t126\t250\t9\n+351\t125\t540\t214\t0\t196\t4\n+318\t181\t76\t82\t52\t26\t3\n+327\t114\t510\t220\t0\t57\t2\n+945\t1023\t234\t319\t308\t197\t9\n+412\t133\t564\t199\t100\t165\t2\n+436\t259\t502\t164\t64\t155\t2\n+815\t1023\t120\t292\t223\t136\t7\n+810\t1023\t258\t296\t283\t224\t9\n+420\t91\t525\t1\t0\t22\t6\n+443\t198\t555\t129\t156\t245\t4\n+369\t121\t541\t40\t114\t110\t6\n+494\t295\t147\t150\t128\t103\t3\n+637\t1012\t183\t266\t267\t83\t7\n+375\t164\t106\t166\t642\t239\t1\n+394\t199\t75\t76\t597\t272\t1\n+665\t1023\t195\t223\t251\t195\t9\n+362\t107\t551\t10\t0\t0\t6\n+704\t1023\t206\t175\t191\t267\t9\n+338\t97\t464\t139\t106\t176\t4\n+325\t90\t521\t17\t0\t69\t6\n+379\t212\t526\t140\t85\t191\t4\n+424\t163\t565\t27\t190\t98\t6\n+376\t126\t99\t56\t622\t238\t1\n+398\t190\t124\t150\t628\t269\t1\n+349\t113\t80\t76\t648\t202\t1\n+647\t1019\t154\t245\t221\t240\t9\n+791\t1023\t146\t161\t183\t137\t7\n+363\t169\t548\t129\t91\t252\t4\n+433\t248\t99\t159\t152\t225\t3\n+346\t115\t516\t155\t0\t132\t2\n+758\t1023\t195\t258\t269\t230\t9\n+330\t158\t64\t0\t56\t234\t3\n+374\t119\t548\t146\t0\t22\t2\n+362\t211\t550\t232\t0\t214\t4\n+687\t1023\t194\t282\t197\t115\t7\n+489\t209\t0\t144\t262\t43\t3\n+594\t1023\t343\t500\t375\t406\t8\n+329\t130\t535\t11\t49\t98\t6\n+829\t1023\t186\t238\t227\t176\t9\n+326\t178\t44\t182\t621\t203\t1\n+609\t1023\t99\t225\t206\t183\t7\n+315\t104\t505\t88\t0\t118\t6\n+380\t185\t112\t2\t632\t253\t1\n+709\t491\t332\t198\t232\t159\t5\n+422\t138\t564\t187\t0\t263\t4\n+359\t168\t516\t4\t84\t135\t6\n+766\t1023\t167\t226\t215\t223\t9\n+693\t1023\t201\t291\t238\t121\t7\n+373\t127\t462\t124\t87\t57\t2\n+590\t965\t152\t114\t195\t265\t9\n+582\t375\t413\t171\t121\t232\t5\n+606\t1023\t179\t213\t201\t226\t9\n+358\t96\t63\t164\t593\t283\t1\n+380\t112\t562\t102\t142\t0\t6\n+382\t90\t521\t73\t121\t110\t6\n+351\t95\t540\t0\t178\t127\t6\n+541\t1023\t321\t447\t380\t428\t8\n+331\t176\t497\t172\t0\t141\t2\n+682\t1023\t175\t327\t242\t228\t9\n+378\t114\t532\t148\t0\t135\t2\n+334\t113\t511\t200\t46\t211\t4\n+362\t84\t526\t102\t0\t185\t4\n+791\t1023\t197\t279\t314\t236\t9\n+356\t126\t529\t0\t43\t138\t6\n+696\t1023\t130\t274\t235\t332\t9\n+722\t1023\t190\t260\t250\t237\t9\n+376\t94\t544\t104\t0\t99\t6\n+415\t147\t525\t0\t189\t102\t6\n+641\t950\t91\t250\t244\t212\t9\n+387\t124\t538\t23\t139\t4\t6\n+458\t103\t513\t0\t0\t106\t6\n+414\t126\t86\t95\t567\t171\t1\n+559\t919\t160\t218\t138\t193\t7\n+572\t895\t156\t49\t236\t47\t7\n+381\t111\t510\t93\t0\t95\t6\n+299\t143\t11\t0\t95\t58\t3\n+585\t1023\t197\t221\t216\t193\t7\n+638\t1023\t225\t254\t180\t157\t7\n+369\t162\t540\t81\t0\t56\t6\n+599\t915\t77\t255\t248\t124\t7\n+686\t1023\t89\t257\t217\t232\t9\n+578\t1023\t83\t207\t216\t126\t7\n+364\t120\t503\t0\t153\t225\t4\n+600\t1018\t153\t222\t275\t38\t7\n+383\t192\t101\t229\t624\t224\t1\n+383\t130\t532\t0\t67\t107\t6\n+328\t146\t23\t138\t0\t116\t3\n+272\t75\t99\t154\t220\t133\t3\n+323\t171\t96\t61\t146\t0\t3\n+337\t81\t506\t10\t0\t150\t6\n+290\t151\t0\t0\t106\t159\t3\n+661\t1023\t213\t292\t238\t295\t9\n+590\t1023\t216\t252\t264\t276\t9\n+512\t263\t118\t0\t213\t348\t1\n+315\t126\t502\t269\t48\t98\t2\n+276\t85\t479\t104\t40\t102\t6\n+378\t81\t548\t167\t0\t58\t2\n+387\t154\t0\t190\t656\t362\t1\n+602\t1023\t143\t256\t247\t38\t7\n+341\t142\t530\t7\t89\t46\t6\n+691\t1023\t141\t212\t189\t204\t9\n+576\t1006\t135\t209\t251\t216\t9\n+567\t849\t120\t157\t87\t213\t7\n+705\t1023\t189\t282\t279\t330\t9\n+985\t1023\t421\t292\t257\t220\t9\n+651\t1023\t181\t285\t202\t201\t9\n+693\t1023\t213\t300\t221\t225\t9\n+408\t113\t545\t183\t210\t104\t2\n+418\t143\t545\t0\t82\t126\t6\n+384\t112\t522\t111\t76\t109\t2\n+275\t48\t394\t0\t131\t0\t6\n+359\t113\t42\t80\t600\t163\t1\n+357\t169\t154\t138\t649\t283\t1\n+400\t224\t108\t227\t31\t107\t3\n+346\t88\t82\t84\t196\t98\t3\n+323\t124\t534\t0\t186\t183\t6\n+374\t103\t541\t142\t101\t52\t2\n+380\t105\t508\t170\t126\t313\t4\n+353\t196\t117\t115\t0\t164\t3\n+359\t113\t511\t259\t0\t141\t2\n+377\t137\t558\t11\t0\t14\t6\n+623\t423\t459\t227\t147\t40\t5\n+389\t149\t96\t50\t640\t263\t1\n+543\t1023\t144\t249\t187\t104\t7\n+691\t982\t85\t264\t194\t206\t9\n+627\t1023\t157\t238\t216\t193\t7\n+577\t1023\t165\t258\t299\t198\t7\n+402\t131\t569\t0\t124\t0\t6\n+337\t91\t506\t231\t0\t49\t2\n+636\t870\t91\t227\t96\t172\t7\n+356\t125\t58\t0\t621\t308\t1\n+390\t190\t46\t88\t665\t313\t1\n+351\t68\t529\t86\t0\t56\t6\n+623\t475\t365\t79\t157\t281\t5\n+335\t74\t512\t209\t49\t270\t4\n+496\t194\t105\t202\t427\t25\t3\n+614\t1023\t178\t280\t196\t117\t7\n+381\t84\t545\t101\t0\t140\t6\n+289\t93\t425\t0\t28\t68\t6\n+385\t240\t52\t168\t638\t277\t1\n+322\t162\t103\t0\t52\t61\t3\n+343\t126\t488\t99\t187\t276\t4\n+362\t197\t105\t68\t0\t2\t3\n+378\t99\t527\t0\t0\t116\t6\n+347\t107\t522\t0\t0\t200\t4\n+468\t198\t137\t99\t341\t111\t3\n+572\t967\t57\t255\t159\t220\t9\n+608\t1023\t115\t247\t174\t266\t9\n+637\t1023\t203\t289\t255\t175\t7\n+649\t902\t155\t165\t213\t262\t9\n+322\t148\t0\t187\t87\t115\t3\n' |
| b |
| diff -r 81f9b44f5242 -r b6b4d08b6858 test-data/out3.flowscore --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/out3.flowscore Fri Jul 17 09:06:54 2020 -0400 |
| b |
| @@ -0,0 +1,10 @@ +Population_ID FSC SSC CD4 CCR3 CD8 CCR7 Count Percentage +1 1 1 1 1 3 2 3297 16.49 +2 1 1 3 1 1 1 2695 13.48 +3 1 1 1 1 1 1 2094 10.47 +4 1 1 3 1 1 2 1932 9.66 +5 3 2 3 1 1 2 934 4.67 +6 1 1 3 1 1 1 2852 14.26 +7 2 4 1 1 1 1 2478 12.39 +8 4 4 2 2 2 3 568 2.84 +9 3 4 1 2 1 2 3149 15.75 |
