| Next changeset 1:7eab80f86779 (2017-02-27) |
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cross_sample/runCrossSample.py cross_sample/runCrossSample.xml cross_sample/test-data/gmfi.flowmfi cross_sample/test-data/input1.flowtext cross_sample/test-data/input2.flowtext cross_sample/test-data/input3.flowtext cross_sample/test-data/mfi.flowmfi cross_sample/test-data/out1.flowstat1 cross_sample/test-data/out1.flowstat2 cross_sample/test-data/out1.flowstat3 cross_sample/test-data/out2.flowstat1 cross_sample/test-data/out2.flowstat2 cross_sample/test-data/out2.flowstat3 cross_sample/test-data/run1/input1.flowtext.flowclr cross_sample/test-data/run1/input2.flowtext.flowclr cross_sample/test-data/run1/input3.flowtext.flowclr cross_sample/test-data/run2/input1.flowtext.flowclr cross_sample/test-data/run2/input2.flowtext.flowclr cross_sample/test-data/run2/input3.flowtext.flowclr |
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| diff -r 000000000000 -r 8d951baf795f cross_sample/runCrossSample.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/runCrossSample.py Mon Feb 27 12:47:17 2017 -0500 |
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| b'@@ -0,0 +1,224 @@\n+#!/usr/bin/env python\n+######################################################################\n+# Copyright (c) 2016 Northrop Grumman.\n+# All rights reserved.\n+######################################################################\n+from __future__ import print_function\n+import sys\n+import os\n+from scipy.stats import gmean\n+from argparse import ArgumentParser\n+from collections import defaultdict\n+import pandas as pd\n+\n+#\n+# version 1.1 -- April 2016 -- C. Thomas\n+# modified to read in several input files and output to a directory\n+# + generates summary statistics\n+# also checks before running that input files are consistent with centroid file\n+#\n+\n+\n+def compare_MFIs(input_files, f_names, mfi_file):\n+ header_MFIs = ""\n+ flag_error = False\n+ with open(mfi_file, "r") as mfi_check:\n+ mfi_fl = mfi_check.readline().split("\\t")\n+ header_MFIs = "\\t".join([mfi_fl[h] for h in range(1, len(mfi_fl))])\n+\n+ for hh, files in enumerate(input_files):\n+ with open(files, "r") as inf:\n+ hdrs = inf.readline()\n+ if hdrs != header_MFIs:\n+ sys.stderr.write(hdrs + "headers in " + f_names[hh] + " are not consistent with FLOCK centroid file:\\n" + header_MFIs + "\\n")\n+ flag_error = True\n+ if flag_error:\n+ sys.exit(2)\n+\n+\n+def stats_MFIs(cs_df, ctr, mfi_calc):\n+ if mfi_calc == "mfi":\n+ MFIs = cs_df.groupby(\'Population\').mean().round(decimals=2)\n+ elif mfi_calc == "gmfi":\n+ MFIs = cs_df.groupby(\'Population\').agg(lambda x: gmean(list(x))).round(decimals=2)\n+ else:\n+ MFIs = cs_df.groupby(\'Population\').median().round(decimals=2)\n+ pop_freq = (cs_df.Population.value_counts(normalize=True) * 100).round(decimals=2)\n+ sorted_pop_freq = pop_freq.sort_index()\n+ MFIs[\'Percentage\'] = sorted_pop_freq\n+ MFIs[\'Population\'] = MFIs.index\n+ MFIs[\'SampleName\'] = "".join(["Sample", str(ctr).zfill(2)])\n+ return MFIs\n+\n+\n+def get_pop_prop(input_files, summary_stat, mfi_stats, marker_names, mfi_calc):\n+ pop_count = defaultdict(dict)\n+ mrk = marker_names.strip().split("\\t")\n+ markers = "\\t".join([mrk[m] for m in range(1, len(mrk))])\n+\n+ ctr_mfi = 0\n+ nb_pop = 0\n+ tot = {}\n+ with open(mfi_stats, "a") as mfis:\n+ mfis.write("\\t".join([markers, "Percentage", "Population", "SampleName"]) + "\\n")\n+ for files in input_files:\n+ cs = pd.read_table(files)\n+ tot[files] = len(cs.index)\n+ for pops in cs.Population:\n+ if pops in pop_count[files]:\n+ pop_count[files][pops] += 1\n+ else:\n+ pop_count[files][pops] = 1\n+ if (len(pop_count[files]) > nb_pop):\n+ nb_pop = len(pop_count[files])\n+ ctr_mfi += 1\n+ cs_stats = stats_MFIs(cs, ctr_mfi, mfi_calc)\n+ cs_stats.to_csv(mfis, sep="\\t", header=False, index=False)\n+\n+ ctr = 0\n+ with open(summary_stat, "w") as outf:\n+ itpop = [str(x) for x in range(1, nb_pop + 1)]\n+ cols = "\\t".join(itpop)\n+ outf.write("FileID\\tSampleName\\t" + cols + "\\n")\n+ for eachfile in pop_count:\n+ tmp = []\n+ for num in range(1, nb_pop + 1):\n+ if num not in pop_count[eachfile]:\n+ pop_count[eachfile][num] = 0\n+ tmp.append(str((pop_count[eachfile][num] / float(tot[eachfile])) * 100))\n+ props = "\\t".join(tmp)\n+ ctr += 1\n+ sample_name = "".join(["Sample", str(ctr).zfill(2)])\n+ outf.write("\\t".join([input_files[eachfile], sample_name, props]) + "\\n")\n+\n+\n+def run_cross_sample(input_files, f_names, mfi_file, output_dir, summary_stat,\n+ mfi_stats, tool_directory, mfi_calc):\n+ markers = ""\n+ # Strip off Header Line\n+ with open(mfi_file, "r") as mfi_in, open("mfi.txt", "w") as mfi_out:\n+ markers = mfi_in.readline().str'..b'e in enumerate(input_files):\n+ run_command = tool_directory + "/bin/cent_adjust mfi.txt " + flow_file\n+ print(run_command)\n+ os.system(run_command)\n+ flow_name = os.path.split(flow_file)[1]\n+ outfile = os.path.join(output_dir, flow_name + ".flowclr")\n+ outputs[outfile] = f_names[nm]\n+ with open(flow_file, "r") as flowf, open("population_id.txt", "r") as popf, open(outfile, "w") as outf:\n+ f_line = flowf.readline()\n+ f_line = f_line.rstrip()\n+ f_line = f_line + "\\tPopulation\\n"\n+ outf.write(f_line)\n+\n+ for line in flowf:\n+ line = line.rstrip()\n+ pop_line = popf.readline()\n+ pop_line = pop_line.rstrip()\n+ line = line + "\\t" + pop_line + "\\n"\n+ outf.write(line)\n+ get_pop_prop(outputs, summary_stat, mfi_stats, markers, mfi_calc)\n+ return\n+\n+\n+def generate_CS_stats(mfi_stats, all_stats):\n+ df = pd.read_table(mfi_stats)\n+ means = df.groupby(\'Population\').mean().round(decimals=2)\n+ medians = df.groupby(\'Population\').median().round(decimals=2)\n+ stdev = df.groupby(\'Population\').std().round(decimals=2)\n+ all_markers = []\n+ with open(mfi_stats, "r") as ms:\n+ ms_fl = ms.readline().strip()\n+ all_markers = ms_fl.split("\\t")[0:-2]\n+\n+ with open(all_stats, "w") as mstats:\n+ hdgs = ["\\t".join(["_".join([mrs, "mean"]), "_".join([mrs, "median"]), "_".join([mrs, "stdev"])]) for mrs in all_markers]\n+ mstats.write("Population\\t")\n+ mstats.write("\\t".join(hdgs) + "\\n")\n+ for pops in set(df.Population):\n+ tmp_line = []\n+ for mar in all_markers:\n+ tmp_line.append("\\t".join([str(means.loc[pops, mar]), str(medians.loc[pops, mar]), str(stdev.loc[pops, mar])]))\n+ mstats.write(str(pops) + "\\t")\n+ mstats.write("\\t".join(tmp_line) + "\\n")\n+\n+\n+if __name__ == "__main__":\n+ parser = ArgumentParser(\n+ prog="runCrossSample",\n+ description="Run CrossSample on Flow file")\n+\n+ parser.add_argument(\n+ \'-i\',\n+ dest="input_files",\n+ required=True,\n+ action=\'append\',\n+ help="File locations for flow text files.")\n+\n+ parser.add_argument(\n+ \'-n\',\n+ dest="filenames",\n+ required=True,\n+ action=\'append\',\n+ help="Filenames")\n+\n+ parser.add_argument(\n+ \'-m\',\n+ dest="mfi",\n+ required=True,\n+ help="File location for the MFI text file.")\n+\n+ parser.add_argument(\n+ \'-o\',\n+ dest="out_path",\n+ required=True,\n+ help="Path to the directory for the output files.")\n+\n+ parser.add_argument(\n+ \'-M\',\n+ dest="mfi_calc",\n+ required=True,\n+ help="what to calculate for centroids.")\n+\n+ parser.add_argument(\n+ \'-s\',\n+ dest="sstat",\n+ required=True,\n+ help="File location for the summary statistics.")\n+\n+ parser.add_argument(\n+ \'-S\',\n+ dest="mfi_stat",\n+ required=True,\n+ help="File location for the MFI summary statistics.")\n+\n+ parser.add_argument(\n+ \'-t\',\n+ dest="tool_dir",\n+ required=True,\n+ help="File location for cent_adjust.")\n+\n+ parser.add_argument(\n+ \'-a\',\n+ dest="all_stats",\n+ required=True,\n+ help="File location for stats on all markers.")\n+\n+ args = parser.parse_args()\n+\n+ input_files = [f for f in args.input_files]\n+ input_names = [n for n in args.filenames]\n+ compare_MFIs(input_files, input_names, args.mfi)\n+ run_cross_sample(input_files, input_names, args.mfi, args.out_path, args.sstat, args.mfi_stat, args.tool_dir, args.mfi_calc)\n+ generate_CS_stats(args.mfi_stat, args.all_stats)\n+\n+ sys.exit(0)\n' |
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| diff -r 000000000000 -r 8d951baf795f cross_sample/runCrossSample.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/runCrossSample.xml Mon Feb 27 12:47:17 2017 -0500 |
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| @@ -0,0 +1,162 @@ +<tool id="run_cross_sample" name="Run Cross Sample" version="1.1"> + <description>using a Flow file that was run using FLOCK</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="2" level="fatal" description="Columns inconsistencies between files and centroids file. See stderr for more details." /> + </stdio> + <command><![CDATA[ + python $__tool_directory__/runCrossSample.py -m "${centroid}" -s "${stats}" -S "${mfistats}" -a "${allstats}" -M "${mfi}" -t $__tool_directory__ -o crossSampleOutputs + #for $f in $input# + -i $f + -n "${f.name}" + #end for# + ]]> + </command> + <inputs> + <param format="flowtext" name="input" type="data_collection" collection_type="list" label="Flowtext files Collection"/> + <param format="flowmfi" name="centroid" type="data" label="Centroid file"/> + <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> + <collection type="list" label="CrossSample on ${input.name}" name="output"> + <discover_datasets pattern="(?P<name>.*)" directory="crossSampleOutputs" format="flowclr" /> + </collection> + <data format="flowstat1" name="stats" label="Population distribution after CrossSample on ${input.name} using ${mfi}"/> + <data format="flowstat2" name="mfistats" label="${mfi} centroids of CrossSample on ${input.name} using ${mfi}"/> + <data format="flowstat3" name="allstats" label="${mfi} descriptive stats of CrossSample on ${input.name} using ${mfi}"/> + </outputs> + <tests> + <test> + <param name="input"> + <collection type="list"> + <element name="input1" value="input1.flowtext"/> + <element name="input2" value="input2.flowtext"/> + <element name="input3" value="input3.flowtext"/> + </collection> + </param> + <param name="centroid" value="mfi.flowmfi"/> + <param name="mfi" value="mfi"/> + <output name="stats" file="out1.flowstat1" lines_diff="6"/> + <output name="allstats" file="out1.flowstat3"/> + <output name="mfistats" file="out1.flowstat2" compare="sim_size"/> + <output_collection name="output" type="list" count="3"> + <element name="input1" file="run1/input1.flowtext.flowclr"/> + <element name="input2" file="run1/input2.flowtext.flowclr"/> + <element name="input3" file="run1/input3.flowtext.flowclr"/> + </output_collection> + </test> + <test> + <param name="input"> + <collection type="list"> + <element name="input1" value="input1.flowtext"/> + <element name="input2" value="input2.flowtext"/> + <element name="input3" value="input3.flowtext"/> + </collection> + </param> + <param name="centroid" value="gmfi.flowmfi"/> + <param name="mfi" value="gmfi"/> + <output name="stats" file="out2.flowstat1" lines_diff="6"/> + <output name="allstats" file="out2.flowstat3"/> + <output name="mfistats" file="out2.flowstat2" compare="sim_size"/> + <output_collection name="output" type="list" count="3"> + <element name="input1" file="run2/input1.flowtext.flowclr"/> + <element name="input2" file="run2/input2.flowtext.flowclr"/> + <element name="input3" file="run2/input3.flowtext.flowclr"/> + </output_collection> + </test> + </tests> + <help><![CDATA[ + This tool runs CrossSample using the MFI from FLOCK and text-converted FCS files. + +----- + +**Input** + +This tool compares text-converted FCS files from a data collection to the MFI generated by a FLOCK run. The same data collection merged and run with FLOCK should be used to ensure consistency in the attribution of events to populations. + +.. class:: infomark + +The option chosen for the centroids (mean, median or geometric mean) should be the same as used to run FLOCK. + +**Output** + +Each event within each file of a dataset collection is attributed to a population depending on its intensity profile. +A table of the population composition of each file is generated as well as MFI and population descriptive statistics. + +.. class:: infomark + +Tip: If headers in each text-converted FCS file do not match those in the centroid file, the program will not run. Edit the input file using the Remove, rearrange and/or rename columns tool in the Flow File Tools section prior to Cross Sample analysis. + +----- + +**Example** + +*Input* - fluorescence intensities per marker per event:: + + Marker1 Marker2 Marker3 + 33 47 11 + 31 64 11 + 21 62 99 + 14 34 60 + +*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 + +*Output* for each text file - fluorescence intensities per marker and population ID per event:: + + Marker1 Marker2 Marker3 Population + 33 47 11 1 + 31 64 11 6 + 21 62 99 2 + 14 34 60 7 + +*Summary table* - counts of events in each population in each file:: + + Filename SampleName Pop1 Pop2 Pop3 ... + File1 Biosample1 255 147 18 ... + File2 Biosample2 27 61 965 ... + File3 Biosample3 201 546 221 ... + File4 Biosample4 11 77 327 ... + +*Centroid MFI Summary table* - for each file, mean, median or geometric mean fluorescence intensities per marker per population:: + + Marker1 Marker2 Marker3 ... Population Percentage SampleName + 154 885 24 ... 1 0.2 Biosample1 + 458 74 574 ... 2 0.3 Biosample1 + 3 210 86 ... 3 0.05 Biosample1 + 140 921 19 ... 1 0.1 Biosample2 + 428 79 508 ... 2 0.25 Biosample2 + 9 225 90 ... 3 0.3 Biosample2 + +*MFI Descriptive Statistics table* - for the set of files, mean, median and standard deviation of each centroid per marker per population, as well as mean, median and standard deviation of the population's proportion:: + + Population Marker1_mean Marker1_median Marker1_stdev ... Percentage_mean Percentage_median Percentage_stdev + 1 94.65 90.86 25.8 ... 1.84 0.55 2.48 + 2 132.18 131.58 5.02 ... 9.89 9.76 0.33 + 3 71.8 69.68 10.53 ... 3.02 1.49 3.45 + 4 84.85 84.85 nan ... 8.52 8.52 nan + 5 161.82 132.77 61.29 ... 0.95 0.37 1.06 + ]]> + </help> + <citations> + <citation type="doi">10.1002/cyto.b.20554</citation> + <citation type="doi">10.3389/fimmu.2012.00302</citation> + <citation type="doi">10.1371/journal.pone.0038408</citation> + <citation type="doi">10.1371/journal.ppat.1003076</citation> + <citation type="doi">10.1016/j.clim.2012.12.003</citation> + <citation type="doi">10.1038/srep02327</citation> + </citations> +</tool> |
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| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/gmfi.flowmfi --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/gmfi.flowmfi Mon Feb 27 12:47:17 2017 -0500 |
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| @@ -0,0 +1,27 @@ +Population FSC SSC CD4 CCR7 CD8 CCR3 +1 362 113 519 182 0 0 +2 368 116 522 0 0 181 +3 360 108 511 0 630 472 +4 354 165 0 0 0 514 +5 329 149 0 0 0 0 +6 370 147 0 0 606 0 +7 386 154 0 310 617 294 +8 369 109 516 249 640 500 +9 413 200 0 403 0 633 +10 354 110 520 0 0 0 +11 379 133 0 0 602 562 +12 405 242 0 0 0 0 +13 402 129 514 409 613 294 +14 399 133 525 560 0 0 +15 353 109 318 0 0 0 +16 407 214 0 502 0 0 +17 432 180 503 592 0 279 +18 381 123 523 192 0 187 +19 935 946 478 612 513 523 +20 390 148 0 528 618 0 +21 614 972 0 0 0 0 +22 662 422 382 0 0 276 +23 538 965 362 471 382 442 +24 677 427 387 0 0 0 +25 724 1012 0 265 0 0 +26 957 963 311 337 0 300 |
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| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/input1.flowtext --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/input1.flowtext Mon Feb 27 12:47:17 2017 -0500 |
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| b'@@ -0,0 +1,20001 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| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/input2.flowtext --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/input2.flowtext Mon Feb 27 12:47:17 2017 -0500 |
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' 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| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/input3.flowtext --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/input3.flowtext Mon Feb 27 12:47:17 2017 -0500 |
| b |
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\t197\n' |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/mfi.flowmfi --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/mfi.flowmfi Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,27 @@ +Population FSC SSC CD4 CCR7 CD8 CCR3 +1 364 117 520 188 53 71 +2 370 121 523 37 67 187 +3 363 112 512 69 632 482 +4 360 175 84 141 114 520 +5 333 156 56 68 82 109 +6 372 154 75 90 608 251 +7 389 162 83 318 620 304 +8 371 113 517 258 642 505 +9 422 214 138 420 327 640 +10 356 114 521 31 59 68 +11 381 138 85 111 604 565 +12 410 276 119 213 183 161 +13 406 137 516 424 615 305 +14 401 139 526 566 76 108 +15 356 121 322 84 75 110 +16 414 239 104 510 138 200 +17 440 198 509 598 119 289 +18 384 128 524 199 60 194 +19 944 966 490 629 533 541 +20 393 154 82 534 621 267 +21 617 975 145 224 225 173 +22 667 437 389 204 215 283 +23 546 975 366 476 387 448 +24 681 441 392 204 187 132 +25 727 1013 182 269 259 232 +26 960 975 325 343 318 311 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/out1.flowstat1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/out1.flowstat1 Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,4 @@ +FileID SampleName 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 +Rearranged FCSGateTrans on FCS2.003.20Kevents.fcs Sample01 10.18 8.555 0.15 0.42 6.67 13.3 2.985 0.0 0.05 9.825 0.0 3.265 0.065 0.045 1.42 0.495 0.125 7.6 0.465 0.03 14.78 2.36 1.385 2.205 12.0 1.625 +Rearranged FCSGateTrans on FCS2.001.20Kevents.fcs Sample02 0.0 0.41 10.735 5.69 0.275 3.075 2.945 11.245 1.285 0.0 8.975 1.04 10.935 0.085 0.25 0.585 0.015 0.225 0.71 0.535 12.76 2.775 2.01 1.585 19.97 1.885 +Rearranged FCSGateTrans on FCS2.002.20Kevents.fcs Sample03 8.88 5.35 0.05 0.35 4.615 1.945 5.765 0.015 0.18 7.445 0.105 3.0 0.195 4.695 1.61 3.165 1.515 5.28 0.485 7.53 16.55 1.525 1.77 2.64 13.6 1.74 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/out1.flowstat2 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/out1.flowstat2 Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,75 @@ +FSC SSC CD4 CCR7 CD8 CCR3 Percentage Population SampleName +360.93 118.98 521.7 181.35 48.29 76.01 10.18 1 Sample01 +374.35 125.62 525.73 36.34 72.0 197.55 8.56 2 Sample01 +406.43 162.77 410.23 69.3 580.9 275.2 0.15 3 Sample01 +363.32 241.5 99.96 145.89 102.85 318.19 0.42 4 Sample01 +337.09 155.29 56.73 72.34 73.35 112.25 6.67 5 Sample01 +368.59 148.89 69.12 71.72 606.04 237.42 13.3 6 Sample01 +403.26 176.59 94.75 191.8 620.71 263.77 2.99 7 Sample01 +345.6 331.2 292.9 562.5 293.0 413.3 0.05 9 Sample01 +352.15 115.59 519.81 29.88 54.23 72.34 9.83 10 Sample01 +421.38 241.15 115.02 151.72 215.97 147.47 3.26 12 Sample01 +423.08 219.69 405.31 271.0 585.31 272.92 0.06 13 Sample01 +363.33 188.33 360.33 551.11 77.56 198.67 0.04 14 Sample01 +354.94 118.97 301.48 81.19 69.35 117.17 1.42 15 Sample01 +419.08 392.96 120.34 408.48 122.57 168.11 0.5 16 Sample01 +462.0 422.08 421.0 718.08 357.2 480.84 0.12 17 Sample01 +388.6 132.42 528.82 190.06 61.71 205.87 7.6 18 Sample01 +972.67 1014.57 510.17 649.92 498.02 507.34 0.46 19 Sample01 +436.0 331.33 195.33 587.83 698.0 475.67 0.03 20 Sample01 +602.71 967.97 140.02 220.24 213.08 176.15 14.78 21 Sample01 +687.46 490.61 376.69 209.82 192.18 267.15 2.36 22 Sample01 +551.76 988.58 350.25 482.74 364.3 411.62 1.38 23 Sample01 +647.77 387.0 397.71 171.63 167.15 143.66 2.2 24 Sample01 +726.15 1016.99 182.62 264.79 248.23 217.08 12.0 25 Sample01 +969.6 1001.4 329.26 338.48 302.98 333.58 1.62 26 Sample01 +562.4 279.96 395.37 85.56 233.15 423.82 0.41 2 Sample02 +361.23 110.65 512.56 68.97 633.79 483.67 10.74 3 Sample02 +355.26 167.2 73.65 147.5 108.78 528.01 5.69 4 Sample02 +320.36 182.36 72.15 113.6 120.13 198.04 0.27 5 Sample02 +379.34 171.32 79.2 96.05 612.98 319.43 3.08 6 Sample02 +412.99 178.92 94.51 281.53 623.12 374.9 2.94 7 Sample02 +371.1 112.03 517.49 259.35 642.93 505.5 11.24 8 Sample02 +431.34 213.62 133.05 402.6 302.14 645.66 1.28 9 Sample02 +380.63 135.19 85.29 110.18 602.83 574.54 8.98 11 Sample02 +447.85 525.88 156.54 205.92 232.46 226.29 1.04 12 Sample02 +406.39 136.68 517.93 421.76 615.38 306.36 10.94 13 Sample02 +358.41 103.0 460.06 676.12 556.82 164.12 0.08 14 Sample02 +392.88 210.34 274.9 177.9 205.7 226.14 0.25 15 Sample02 +433.7 264.01 107.35 510.36 149.73 224.73 0.58 16 Sample02 +503.0 183.67 512.67 468.67 380.67 284.33 0.02 17 Sample02 +401.98 199.4 351.38 197.56 325.84 376.18 0.22 18 Sample02 +942.13 977.37 496.89 556.9 589.52 591.96 0.71 19 Sample02 +431.49 175.21 108.33 449.62 589.52 338.83 0.53 20 Sample02 +612.66 962.76 145.03 218.29 241.58 218.2 12.76 21 Sample02 +677.97 432.92 394.9 215.63 253.73 320.89 2.78 22 Sample02 +537.34 987.67 377.09 463.75 412.69 504.01 2.01 23 Sample02 +708.86 473.52 400.38 219.62 227.69 178.15 1.58 24 Sample02 +724.21 1017.01 183.89 263.49 272.15 249.63 19.97 25 Sample02 +956.13 990.81 316.68 335.77 337.56 324.8 1.88 26 Sample02 +363.8 112.35 518.73 192.67 50.31 67.22 8.88 1 Sample03 +366.09 113.61 521.93 39.72 65.66 165.65 5.35 2 Sample03 +395.7 119.3 384.9 85.9 585.6 230.1 0.05 3 Sample03 +368.81 204.11 96.34 237.57 86.57 292.1 0.35 4 Sample03 +318.7 144.37 48.23 81.95 64.63 103.98 4.61 5 Sample03 +356.9 131.76 69.32 144.68 612.42 244.06 1.94 6 Sample03 +373.64 149.87 73.71 364.36 620.22 274.19 5.76 7 Sample03 +438.0 176.67 517.33 423.0 277.33 437.33 0.02 8 Sample03 +456.47 368.94 339.69 764.56 534.31 616.89 0.18 9 Sample03 +358.85 110.16 520.35 32.56 61.77 62.47 7.44 10 Sample03 +395.52 201.76 124.0 438.24 675.14 501.81 0.1 11 Sample03 +416.9 238.72 120.19 236.94 187.78 133.18 3.0 12 Sample03 +435.72 195.44 389.95 550.08 631.15 289.23 0.19 13 Sample03 +399.59 136.41 525.52 567.5 69.54 112.64 4.7 14 Sample03 +361.32 113.15 344.56 109.52 71.4 102.73 1.61 15 Sample03 +404.76 196.99 95.3 519.01 130.48 201.21 3.16 16 Sample03 +451.65 196.73 522.28 588.96 117.05 274.0 1.52 17 Sample03 +383.32 121.85 525.67 214.77 64.27 172.42 5.28 18 Sample03 +948.66 979.64 477.21 676.02 492.0 476.04 0.48 19 Sample03 +393.34 154.15 80.74 547.09 620.52 265.14 7.53 20 Sample03 +618.74 977.0 140.47 231.46 216.74 155.22 16.55 21 Sample03 +632.72 434.17 361.81 253.26 192.78 244.91 1.52 22 Sample03 +550.94 992.18 358.59 469.96 366.78 399.73 1.77 23 Sample03 +692.69 478.12 385.77 214.78 183.47 124.04 2.64 24 Sample03 +733.01 1018.55 182.18 275.33 250.23 190.78 13.6 25 Sample03 +971.95 998.45 334.9 363.32 315.39 269.99 1.74 26 Sample03 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/out1.flowstat3 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/out1.flowstat3 Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,27 @@ +Population FSC_mean FSC_median FSC_stdev SSC_mean SSC_median SSC_stdev CD4_mean CD4_median CD4_stdev CCR7_mean CCR7_median CCR7_stdev CD8_mean CD8_median CD8_stdev CCR3_mean CCR3_median CCR3_stdev Percentage_mean Percentage_median Percentage_stdev +1 362.36 362.36 2.03 115.66 115.66 4.69 520.22 520.22 2.1 187.01 187.01 8.0 49.3 49.3 1.43 71.62 71.62 6.22 9.53 9.53 0.92 +2 434.28 374.35 111.03 173.06 125.62 92.77 481.01 521.93 74.19 53.87 39.72 27.49 123.6 72.0 94.92 262.34 197.55 140.75 4.77 5.35 4.11 +3 387.79 395.7 23.62 130.91 119.3 27.93 435.9 410.23 67.59 74.72 69.3 9.68 600.1 585.6 29.27 329.66 275.2 135.27 3.65 0.15 6.14 +4 362.46 363.32 6.82 204.27 204.11 37.15 89.98 96.34 14.26 176.99 147.5 52.47 99.4 102.85 11.5 379.43 318.19 129.33 2.15 0.42 3.06 +5 325.38 320.36 10.17 160.67 155.29 19.56 59.04 56.73 12.13 89.3 81.95 21.59 86.04 73.35 29.85 138.09 112.25 52.08 3.85 4.61 3.27 +6 368.28 368.59 11.22 150.66 148.89 19.84 72.55 69.32 5.76 104.15 96.05 37.15 610.48 612.42 3.86 266.97 244.06 45.55 6.11 3.08 6.26 +7 396.63 403.26 20.5 168.46 176.59 16.14 87.66 94.51 12.08 279.23 281.53 86.3 621.35 620.71 1.55 304.29 274.19 61.37 3.9 2.99 1.61 +8 404.55 404.55 47.31 144.35 144.35 45.71 517.41 517.41 0.11 341.18 341.18 115.72 460.13 460.13 258.52 471.42 471.42 48.2 5.63 5.63 7.93 +9 411.14 431.34 58.13 304.59 331.2 81.01 255.21 292.9 108.35 576.55 562.5 181.39 376.48 302.14 136.76 558.62 616.89 126.67 0.5 0.18 0.68 +10 355.5 355.5 4.74 112.88 112.88 3.84 520.08 520.08 0.38 31.22 31.22 1.9 58.0 58.0 5.33 67.4 67.4 6.98 8.64 8.64 1.69 +11 388.08 388.08 10.53 168.48 168.48 47.07 104.65 104.65 27.37 274.21 274.21 231.97 638.98 638.98 51.13 538.17 538.17 51.43 4.54 4.54 6.28 +12 428.71 421.38 16.73 335.25 241.15 165.09 130.58 120.19 22.63 198.19 205.92 43.13 212.07 215.97 22.59 168.98 147.47 50.14 2.43 3.0 1.21 +13 421.73 423.08 14.71 183.94 195.44 42.68 437.73 405.31 69.88 414.28 421.76 139.69 610.61 615.38 23.29 289.5 289.23 16.72 3.73 0.19 6.24 +14 373.78 363.33 22.49 142.58 136.41 43.0 448.64 460.06 83.19 598.24 567.5 67.94 234.64 77.56 279.04 158.48 164.12 43.29 1.61 0.08 2.68 +15 369.71 361.32 20.31 147.49 118.97 54.51 306.98 301.48 35.15 122.87 109.52 49.72 115.48 71.4 78.14 148.68 117.17 67.47 1.09 1.42 0.74 +16 419.18 419.08 14.47 284.65 264.01 99.6 107.66 107.35 12.52 479.28 510.36 61.47 134.26 130.48 13.97 198.02 201.21 28.44 1.41 0.58 1.51 +17 472.22 462.0 27.16 267.49 196.73 134.04 485.32 512.67 55.91 591.9 588.96 124.73 284.97 357.2 145.9 346.39 284.33 116.55 0.55 0.12 0.84 +18 391.3 388.6 9.62 151.22 132.42 42.06 468.62 525.67 101.55 200.8 197.56 12.67 150.61 64.27 151.76 251.49 205.87 109.27 4.37 5.28 3.77 +19 954.49 948.66 16.08 990.53 979.64 20.85 494.76 496.89 16.58 627.61 649.92 62.61 526.51 498.02 54.65 525.11 507.34 59.97 0.55 0.48 0.14 +20 420.28 431.49 23.44 220.23 175.21 96.79 128.13 108.33 59.81 528.18 547.09 71.02 636.01 620.52 55.87 359.88 338.83 106.83 2.7 0.53 4.19 +21 611.37 612.66 8.09 969.24 967.97 7.2 141.84 140.47 2.77 223.33 220.24 7.11 223.8 216.74 15.51 183.19 176.15 32.07 14.7 14.78 1.9 +22 666.05 677.97 29.25 452.57 434.17 32.95 377.8 376.69 16.57 226.24 215.63 23.58 212.9 192.78 35.36 277.65 267.15 39.06 2.22 2.36 0.64 +23 546.68 550.94 8.1 989.48 988.58 2.38 361.98 358.59 13.74 472.15 469.96 9.68 381.26 366.78 27.25 438.45 411.62 57.08 1.72 1.77 0.32 +24 683.11 692.69 31.65 446.21 473.52 51.33 394.62 397.71 7.78 202.01 214.78 26.42 192.77 183.47 31.32 148.62 143.66 27.39 2.14 2.2 0.53 +25 727.79 726.15 4.62 1017.52 1017.01 0.89 182.9 182.62 0.89 267.87 264.79 6.49 256.87 250.23 13.27 219.16 217.08 29.48 15.19 13.6 4.22 +26 965.89 969.6 8.54 996.89 998.45 5.47 326.95 329.26 9.33 345.86 338.48 15.18 318.64 315.39 17.52 309.46 324.8 34.46 1.75 1.74 0.13 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/out2.flowstat1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/out2.flowstat1 Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,4 @@ +FileID SampleName 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 +Rearranged FCSGateTrans on FCS2.003.20Kevents.fcs Sample01 8.5 9.99 0.12 0.67 5.145 4.76 7.925 0.105 0.165 7.27 3.9 3.7 0.12 0.015 1.325 0.72 0.17 10.48 0.955 0.0 4.35 3.195 3.925 1.435 15.705 5.355 +Rearranged FCSGateTrans on FCS2.001.20Kevents.fcs Sample02 0.05 0.33 9.37 4.345 0.225 1.575 4.41 12.41 2.385 0.0 9.395 0.725 11.265 0.0 0.075 0.5 0.18 0.46 1.54 0.395 3.915 3.635 9.05 0.895 14.01 8.86 +Rearranged FCSGateTrans on FCS2.002.20Kevents.fcs Sample03 7.265 6.76 0.07 0.575 4.185 1.035 8.955 0.16 1.1 5.46 0.995 2.145 0.295 3.74 1.41 2.675 2.53 7.615 0.88 4.68 3.98 2.515 3.275 1.69 20.385 5.625 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/out2.flowstat2 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/out2.flowstat2 Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,76 @@ +FSC SSC CD4 CCR7 CD8 CCR3 Percentage Population SampleName +355.78 114.46 519.34 168.82 0.0 0.0 8.5 1 Sample01 +366.75 118.51 522.91 0.0 0.0 173.37 9.99 2 Sample01 +395.48 148.84 392.96 0.0 586.93 243.93 0.12 3 Sample01 +354.8 191.64 0.0 0.0 0.0 275.85 0.67 4 Sample01 +319.28 138.51 0.0 0.0 0.0 0.0 5.14 5 Sample01 +362.66 143.68 0.0 0.0 555.18 0.0 4.76 6 Sample01 +380.81 152.04 0.0 145.67 614.99 252.75 7.92 7 Sample01 +400.38 174.42 364.97 180.95 586.5 279.3 0.1 8 Sample01 +466.22 295.56 170.77 285.06 183.68 310.72 0.16 9 Sample01 +350.06 111.14 519.16 0.0 0.0 0.0 7.27 10 Sample01 +369.23 147.33 0.0 0.0 631.66 282.47 3.9 11 Sample01 +409.74 209.13 0.0 0.0 0.0 0.0 3.7 12 Sample01 +425.44 428.91 350.72 615.96 500.26 478.29 0.12 13 Sample01 +337.43 123.45 431.7 538.75 0.0 114.12 0.02 14 Sample01 +348.19 106.43 290.24 0.0 0.0 0.0 1.32 15 Sample01 +403.15 365.18 0.0 321.2 0.0 0.0 0.72 16 Sample01 +438.05 324.84 321.28 594.04 0.0 317.46 0.17 17 Sample01 +380.78 125.14 526.06 177.24 0.0 180.63 10.48 18 Sample01 +947.3 1005.61 446.06 514.03 412.83 450.29 0.96 19 Sample01 +564.8 892.55 0.0 0.0 0.0 0.0 4.35 21 Sample01 +666.51 454.64 369.55 0.0 0.0 241.11 3.2 22 Sample01 +601.97 997.64 234.58 333.96 283.79 305.79 3.92 23 Sample01 +650.11 361.04 386.73 0.0 0.0 0.0 1.44 24 Sample01 +648.85 1003.84 0.0 239.36 0.0 0.0 15.7 25 Sample01 +823.2 1013.04 211.5 279.26 260.44 233.45 5.36 26 Sample01 +476.64 216.34 377.33 193.69 240.82 0.0 0.05 1 Sample02 +471.05 266.57 360.02 0.0 199.15 475.21 0.33 2 Sample02 +359.23 107.35 511.79 0.0 632.87 473.39 9.37 3 Sample02 +336.76 151.5 0.0 0.0 0.0 512.43 4.35 4 Sample02 +317.03 152.51 0.0 0.0 0.0 172.25 0.22 5 Sample02 +371.85 156.31 0.0 0.0 594.77 279.72 1.58 6 Sample02 +402.12 171.98 0.0 237.43 620.27 364.06 4.41 7 Sample02 +368.32 108.49 514.9 236.18 641.3 500.82 12.41 8 Sample02 +409.74 195.75 0.0 294.04 0.0 580.59 2.38 9 Sample02 +378.44 132.1 0.0 0.0 600.97 570.17 9.4 11 Sample02 +426.29 523.22 0.0 0.0 0.0 197.13 0.73 12 Sample02 +401.36 127.3 516.01 406.73 613.97 296.09 11.26 13 Sample02 +400.4 219.68 190.49 78.26 125.95 176.58 0.08 15 Sample02 +423.89 256.67 0.0 514.7 0.0 187.2 0.5 16 Sample02 +497.74 393.88 292.7 475.7 352.66 342.82 0.18 17 Sample02 +420.84 217.2 284.35 211.29 245.95 275.71 0.46 18 Sample02 +884.52 972.3 440.63 466.03 477.16 487.96 1.54 19 Sample02 +423.88 161.22 0.0 448.14 577.34 274.5 0.4 20 Sample02 +581.05 892.1 0.0 0.0 233.34 0.0 3.91 21 Sample02 +674.41 425.53 389.33 0.0 236.75 288.13 3.64 22 Sample02 +624.32 1007.46 217.78 295.71 297.25 314.48 9.05 23 Sample02 +718.58 474.62 396.15 0.0 224.48 0.0 0.9 24 Sample02 +660.25 1000.27 0.0 237.39 243.98 0.0 14.01 25 Sample02 +807.85 1014.39 196.22 272.05 278.9 248.53 8.86 26 Sample02 +361.35 109.32 516.61 180.94 0.0 0.0 7.26 1 Sample03 +361.78 108.85 520.87 0.0 0.0 146.36 6.76 2 Sample03 +373.61 121.06 332.84 0.0 583.08 240.41 0.07 3 Sample03 +383.18 197.39 0.0 0.0 0.0 258.69 0.57 4 Sample03 +310.49 136.14 0.0 0.0 0.0 0.0 4.18 5 Sample03 +364.87 131.0 0.0 0.0 489.71 0.0 1.03 6 Sample03 +375.6 144.75 0.0 389.84 622.87 273.03 8.96 7 Sample03 +439.6 306.15 288.84 737.82 594.44 672.52 0.16 8 Sample03 +398.88 189.54 0.0 499.34 0.0 324.64 1.1 9 Sample03 +356.28 107.51 519.27 0.0 0.0 0.0 5.46 10 Sample03 +353.41 129.92 0.0 0.0 641.06 278.58 1.0 11 Sample03 +413.37 228.27 0.0 0.0 0.0 0.0 2.14 12 Sample03 +439.22 239.91 367.79 549.6 553.86 308.33 0.3 13 Sample03 +394.14 128.93 523.27 554.83 0.0 0.0 3.74 14 Sample03 +355.73 103.18 334.1 0.0 0.0 0.0 1.41 15 Sample03 +396.87 187.11 0.0 467.44 0.0 0.0 2.68 16 Sample03 +431.47 165.27 520.82 580.86 0.0 230.86 2.53 17 Sample03 +376.04 115.81 519.43 197.15 0.0 151.84 7.61 18 Sample03 +932.7 989.79 437.87 562.38 426.21 406.49 0.88 19 Sample03 +394.2 149.29 0.0 589.44 603.93 0.0 4.68 20 Sample03 +585.23 908.66 0.0 0.0 0.0 0.0 3.98 21 Sample03 +643.85 436.66 357.78 0.0 0.0 212.63 2.51 22 Sample03 +584.99 986.35 270.28 378.3 0.0 317.27 3.28 23 Sample03 +689.54 462.88 376.1 0.0 0.0 0.0 1.69 24 Sample03 +659.74 1006.36 0.0 251.84 0.0 0.0 20.39 25 Sample03 +836.45 1013.12 214.98 295.93 264.33 0.0 5.62 26 Sample03 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/out2.flowstat3 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/out2.flowstat3 Mon Feb 27 12:47:17 2017 -0500 |
| b |
| @@ -0,0 +1,27 @@ +Population FSC_mean FSC_median FSC_stdev SSC_mean SSC_median SSC_stdev CD4_mean CD4_median CD4_stdev CCR7_mean CCR7_median CCR7_stdev CD8_mean CD8_median CD8_stdev CCR3_mean CCR3_median CCR3_stdev Percentage_mean Percentage_median Percentage_stdev +1 397.92 361.35 68.23 146.71 114.46 60.36 471.09 516.61 81.21 181.15 180.94 12.44 80.27 0.0 139.04 0.0 0.0 0.0 5.27 7.26 4.56 +2 399.86 366.75 61.7 164.64 118.51 88.4 467.93 520.87 93.46 0.0 0.0 0.0 66.38 0.0 114.98 264.98 173.37 182.56 5.69 6.76 4.92 +3 376.11 373.61 18.25 125.75 121.06 21.14 412.53 392.96 91.07 0.0 0.0 0.0 600.96 586.93 27.7 319.24 243.93 133.51 3.19 0.12 5.35 +4 358.25 354.8 23.4 180.18 191.64 25.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 348.99 275.85 141.8 1.86 0.67 2.15 +5 315.6 317.03 4.57 142.39 138.51 8.85 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 57.42 0.0 99.45 3.18 4.18 2.61 +6 366.46 364.87 4.8 143.66 143.68 12.66 0.0 0.0 0.0 0.0 0.0 0.0 546.55 555.18 53.06 93.24 0.0 161.5 2.46 1.58 2.01 +7 386.18 380.81 14.05 156.26 152.04 14.1 0.0 0.0 0.0 257.65 237.43 123.33 619.38 620.27 4.02 296.61 273.03 59.28 7.1 7.92 2.38 +8 402.77 400.38 35.7 196.35 174.42 100.64 389.57 364.97 115.02 384.98 236.18 306.81 607.41 594.44 29.61 484.21 500.82 197.14 4.22 0.16 7.09 +9 424.95 409.74 36.15 226.95 195.75 59.5 56.92 0.0 98.59 359.48 294.04 121.21 61.23 0.0 106.05 405.32 324.64 151.95 1.21 1.1 1.11 +10 353.17 353.17 4.4 109.32 109.32 2.57 519.21 519.21 0.08 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 6.36 6.36 1.28 +11 367.03 369.23 12.66 136.45 132.1 9.49 0.0 0.0 0.0 0.0 0.0 0.0 624.56 631.66 20.97 377.07 282.47 167.24 4.77 3.9 4.27 +12 416.47 413.37 8.7 320.21 228.27 176.07 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 65.71 0.0 113.81 2.19 2.14 1.49 +13 422.01 425.44 19.16 265.37 239.91 152.41 411.51 367.79 90.9 524.1 549.6 106.92 556.03 553.86 56.89 360.9 308.33 101.84 3.89 0.3 6.38 +14 365.78 365.78 40.1 126.19 126.19 3.87 477.48 477.48 64.75 546.79 546.79 11.37 0.0 0.0 0.0 57.06 57.06 80.7 1.88 1.88 2.63 +15 368.11 355.73 28.22 143.1 106.43 66.34 271.61 290.24 73.6 26.09 0.0 45.18 41.98 0.0 72.72 58.86 0.0 101.95 0.94 1.32 0.74 +16 407.97 403.15 14.14 269.65 256.67 89.74 0.0 0.0 0.0 434.45 467.44 100.88 0.0 0.0 0.0 62.4 0.0 108.08 1.3 0.72 1.2 +17 455.75 438.05 36.51 294.66 324.84 117.25 378.27 321.28 124.28 550.2 580.86 64.85 117.55 0.0 203.61 297.05 317.46 58.71 0.96 0.18 1.36 +18 392.55 380.78 24.61 152.72 125.14 56.04 443.28 519.43 137.68 195.23 197.15 17.11 81.98 0.0 142.0 202.73 180.63 64.82 6.18 7.61 5.16 +19 921.51 932.7 32.85 989.23 989.79 16.66 441.52 440.63 4.17 514.15 514.03 48.18 438.73 426.21 33.94 448.25 450.29 40.77 1.13 0.96 0.36 +20 409.04 409.04 20.99 155.26 155.26 8.44 0.0 0.0 0.0 518.79 518.79 99.91 590.64 590.64 18.8 137.25 137.25 194.1 2.54 2.54 3.03 +21 577.03 581.05 10.79 897.77 892.55 9.43 0.0 0.0 0.0 0.0 0.0 0.0 77.78 0.0 134.72 0.0 0.0 0.0 4.08 3.98 0.24 +22 661.59 666.51 15.86 438.94 436.66 14.69 372.22 369.55 15.94 0.0 0.0 0.0 78.92 0.0 136.69 247.29 241.11 38.13 3.12 3.2 0.57 +23 603.76 601.97 19.73 997.15 997.64 10.56 240.88 234.58 26.81 335.99 333.96 41.33 193.68 283.79 167.87 312.51 314.48 5.99 5.42 3.92 3.16 +24 686.08 689.54 34.37 432.85 462.88 62.46 386.33 386.73 10.03 0.0 0.0 0.0 74.83 0.0 129.6 0.0 0.0 0.0 1.34 1.44 0.4 +25 656.28 659.74 6.44 1003.49 1003.84 3.06 0.0 0.0 0.0 242.86 239.36 7.84 81.33 0.0 140.86 0.0 0.0 0.0 16.7 15.7 3.31 +26 822.5 823.2 14.31 1013.52 1013.12 0.76 207.57 211.5 9.98 282.41 279.26 12.25 267.89 264.33 9.73 160.66 233.45 139.34 6.61 5.62 1.95 |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/run1/input1.flowtext.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/run1/input1.flowtext.flowclr Mon Feb 27 12:47:17 2017 -0500 |
| b |
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|
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/run1/input2.flowtext.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/run1/input2.flowtext.flowclr Mon Feb 27 12:47:17 2017 -0500 |
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|
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/run1/input3.flowtext.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/run1/input3.flowtext.flowclr Mon Feb 27 12:47:17 2017 -0500 |
| b |
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|
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/run2/input1.flowtext.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/run2/input1.flowtext.flowclr Mon Feb 27 12:47:17 2017 -0500 |
| b |
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+694\t370\t391\t254\t311\t330\t22\n' |
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/run2/input2.flowtext.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/run2/input2.flowtext.flowclr Mon Feb 27 12:47:17 2017 -0500 |
| b |
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|
| b |
| diff -r 000000000000 -r 8d951baf795f cross_sample/test-data/run2/input3.flowtext.flowclr --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/cross_sample/test-data/run2/input3.flowtext.flowclr Mon Feb 27 12:47:17 2017 -0500 |
| b |
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