| Next changeset 1:aef09ac6d0a5 (2019-06-24) |
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Commit message:
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/gsc_mannwhitney_de commit 09dcd74dbc01f448518cf3db3e646afb0675a6fe |
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added:
MannWhitney_DE.R mannwhitney_de.xml test-data/filterCells_100.tsv test-data/filtered-0.05.tab test-data/geneMetadata_log.tsv test-data/geneMetadata_nolog.tsv test-data/signature_2columns.tsv |
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| diff -r 000000000000 -r c67dba545a37 MannWhitney_DE.R --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/MannWhitney_DE.R Mon Jun 24 13:39:39 2019 -0400 |
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| @@ -0,0 +1,149 @@ +#################### +# Differential # +# analysis # +#################### + +# Perform a differential analysis between 2 +# groups of cells. + +# Example of command +# Rscript MannWhitney_DE.R --input <input.tsv> --sep <tab> --colnames <TRUE> --metadata <signature.tsv> --column_name <rate> --fdr <0.01> --output <diff_analysis.tsv> + +# load packages that are provided in the conda env +options( show.error.messages=F, + error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } ) +loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8") +warnings() +library(optparse) + +#Arguments +option_list = list( + make_option( + "--input", + default = NA, + type = 'character', + help = "Input file that contains log2(CPM +1) values" + ), + make_option( + "--sep", + default = '\t', + type = 'character', + help = "File separator [default : '%default' ]" + ), + make_option( + "--colnames", + default = TRUE, + type = 'logical', + help = "Consider first line as header ? [default : '%default' ]" + ), + make_option( + "--comparison_factor_file", + default = NA, + type = 'character', + help = " A two column table : cell identifiers and a comparison factor that split cells in two categories (high/low, HOM/HET,...)" + ), + make_option( + "--factor1", + type = 'character', + help = "level associated to the control condition in the factor file" + ), + make_option( + "--factor2", + type = 'character', + help = "level associated to the test condition in the factor file" + ), + make_option( + "--fdr", + default = 0.01, + type = 'numeric', + help = "FDR threshold [default : '%default' ]" + ), + make_option( + "--log", + default=FALSE, + action="store_true", + type = 'logical', + help = "Expression data are log-transformed [default : '%default' ]" + ), + make_option( + "--output", + default = "results.tsv", + type = 'character', + help = "Output name [default : '%default' ]" + ) +) + +opt = parse_args(OptionParser(option_list = option_list), + args = commandArgs(trailingOnly = TRUE)) + +if (opt$sep == "tab") {opt$sep = "\t"} +if (opt$sep == "comma") {opt$sep = ","} + +#Open files +data.counts <- read.table( + opt$input, + h = opt$colnames, + row.names = 1, + sep = opt$sep, + check.names = F +) + +metadata <- read.table( + opt$comparison_factor_file, + header = TRUE, + stringsAsFactors = F, + sep = "\t", + check.names = FALSE, + row.names = 1 +) + +metadata <- subset(metadata, rownames(metadata) %in% colnames(data.counts)) + +# Create two logical named vectors for each factor level of cell signature +factor1_cells <- setNames(metadata[,1] == opt$factor1, rownames(metadata)) +factor2_cells <- setNames(metadata[,1] == opt$factor2, rownames(metadata)) + +## Mann-Whitney test (Two-sample Wilcoxon test) +MW_test <- data.frame(t(apply(data.counts, 1, function(x) { + do.call("cbind", wilcox.test(x[names(factor1_cells)[factor1_cells]], x[names(factor2_cells)[factor2_cells]]))[, 1:2] +})), stringsAsFactors = F) + +# Benjamini-Hochberg correction and significativity +MW_test$p.adjust <- p.adjust(as.numeric(MW_test$p.value), method = "BH" , n = nrow(MW_test)) +# MW_test$Critical.value <- (rank(MW_test$p.value) / nrow(MW_test)) * opt$fdr +MW_test$Significant <- MW_test$p.adjust < opt$fdr + +## Descriptive Statistics Function +descriptive_stats <- function(InputData) { + SummaryData = data.frame( + mean = rowMeans(InputData), + SD = apply(InputData, 1, sd), + Variance = apply(InputData, 1, var), + Percentage_Detection = apply(InputData, 1, function(x, y = InputData) { + (sum(x != 0) / ncol(y)) * 100 + }), + mean_condition2 = rowMeans(InputData[,factor2_cells]), + mean_condition1 = rowMeans(InputData[, factor1_cells]) + ) + if(opt$log) { + SummaryData$log2FC <- SummaryData$mean_condition2 - SummaryData$mean_condition1 + } else { + SummaryData$log2FC <- log2(SummaryData$mean_condition2 / SummaryData$mean_condition1) + } + return(SummaryData) +} + +gene_stats <- descriptive_stats(data.counts) + +results <- merge(gene_stats, MW_test, by = "row.names") +colnames(results)[1] <- "genes" + +# Save files +write.table( + results, + opt$output, + sep = "\t", + quote = F, + col.names = T, + row.names = F +) |
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| diff -r 000000000000 -r c67dba545a37 mannwhitney_de.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/mannwhitney_de.xml Mon Jun 24 13:39:39 2019 -0400 |
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| @@ -0,0 +1,127 @@ +<tool id="mannwhitney_de" name="Perform a differential analysis" version="0.9.0"> + <description>using a Mann-Whitney test</description> + <requirements> + <requirement type="package" version="1.3.2=r3.3.2_0">r-optparse</requirement> + </requirements> + <stdio> + <exit_code range="1:" level="fatal" description="Tool exception" /> + </stdio> + <command detect_errors="exit_code"><![CDATA[ + Rscript $__tool_directory__/MannWhitney_DE.R + --input '$input' + --sep + #if $sep == 'tab': + 'tab' + #elif $sep == 'comma': + 'comma' + #end if + --colnames '$colnames' + --factor1 '$factor1' + --factor2 '$factor2' + --comparison_factor_file '$comparison_factor_file' + --fdr '$fdr' + $log + --output '$output' +]]></command> + <inputs> + <param name="input" type="data" format="txt,tabular" label="Expression data" help="a csv or tsv table file" /> + <param name="sep" type="select" label="Indicate column separator"> + <option value="tab" selected="true">Tabs</option> + <option value="comma">Comma</option> + </param> + <param name="colnames" type="select" label="Firt row contains column names"> + <option value="TRUE" selected="true">Yes</option> + <option value="FALSE">No</option> + </param> + <param name="comparison_factor_file" type="data" format="tabular" label="Comparison factor table" + help="A tsv table file with two columns : cell identifiers and a column that split cells into two categories." /> + <param name="factor1" type="text" label="Condition-1. The first level (value) that the comparison factor can take." help="typical values could be 'LOW', 'wt', 't1', etc."/> + <param name="factor2" type="text" label="Condition-2. The second level (value) that the comparison factor can take." help="typical values could be 'HIGH', 'mutant', 't2', etc."/> + <param name="fdr" type="float" value="0.01" label="FDR threshold" + help="Reject H0 of no differential expression if adjusted p-values (Benjamini-Hochberg correction) is higher than the FDR cut-off."/> + <param name="log" type="boolean" checked="false" label="Expression data are log-transformed" truevalue="--log" falsevalue=""/> + + </inputs> + <outputs> + <data name="output" format="tabular" label="Results of Mann-Whitney differential analysis from ${on_string}" /> + </outputs> + <tests> + <test> + <param name="input" value="filtered-0.05.tab" ftype="txt"/> + <param name="sep" value="tab" /> + <param name="colnames" value="TRUE"/> + <param name="comparison_factor_file" value="signature_2columns.tsv" ftype="tabular"/> + <param name="factor1" value="LOW"/> + <param name="factor2" value="HIGH"/> + <param name="fdr" value="0.01"/> + <param name="log" value="true"/> + <output name="output" file="geneMetadata_log.tsv" ftype="tabular"/> + </test> + <test> + <param name="input" value="filterCells_100.tsv" ftype="txt"/> + <param name="sep" value="tab" /> + <param name="colnames" value="TRUE"/> + <param name="comparison_factor_file" value="signature_2columns.tsv" ftype="tabular"/> + <param name="factor1" value="LOW"/> + <param name="factor2" value="HIGH"/> + <param name="fdr" value="0.01"/> + <param name="log" value="false"/> + <output name="output" file="geneMetadata_nolog.tsv" ftype="tabular"/> + </test> + </tests> + <help> + +**What it does** + +The tools takes a table of gene expression values (e.E. log2(CPM+1), etc...) from single cell RNAseq sequencing libraries (columns) + +and a metadata file that contains at least two columns : + * Cell identifiers + * A Column that differentiates cell in two groups (the two levels of a comparison factor). It must be a column with only values (the factor levels). + +For each gene (rows in expression data file), this script perform a 2-sided Mann-Whitney test between +the two groups of cells (high/low, mutant/wild type) and then adjust the returned p-values by using the +Benjamini-Hochberg (BH) correction. A False Discovery Rate (FDR) threshold is used to determine if gene expression +can be considered as significantly deviant for the H0 hypothesis of no-differential-expression (p-adjust below FDR cut-off) or not (p-adjust above the FDR cut-off). + +.. class:: warningmark + +**Comparison plan** + +Note that log2Fold-Changes computed by the tool are based on the comparison of condition-2 (level-2) versus condition-1 (level-1) i.e. +the tools returns the log2FC in condition-2 **relative** to condition-1. + +**Output** + +The tools returns a result table. For each row (genes) : + +==================== ====================================================================================================== + Column Description +-------------------- ------------------------------------------------------------------------------------------------------ + mean mean expression across all cells + SD standard deviation of its expression across all cells + variance variance of expression across all cells +Percentage_detection (number of cells where the gene is detected (expression value superior to 0) / number of cells) * 100 + mean_factor2 mean expression across cells of the second group (of log transformed expression values) + mean_factor1 mean expression across cells of the first group (of log transformed expression values) + fold_change mean_factor1 - mean_factor2 (difference of log) + statistic W statistic of Mann-Whitney test + p.value p-value of Mann-Whitney test + p.adjust p-values adjusted from the BH correction + Significant TRUE/FALSE vector (if p-adjust inferior to FDR cut-off then the value is TRUE) +==================== ====================================================================================================== + + </help> + <citations> + <citation type="bibtex"> + @Manual{, + title = {R: A Language and Environment for Statistical Computing}, + author = {{R Core Team}}, + organization = {R Foundation for Statistical Computing}, + address = {Vienna, Austria}, + year = {2014}, + url = {http://www.R-project.org/}, + } + </citation> + </citations> +</tool> |
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| diff -r 000000000000 -r c67dba545a37 test-data/filterCells_100.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/filterCells_100.tsv Mon Jun 24 13:39:39 2019 -0400 |
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|
| b |
| diff -r 000000000000 -r c67dba545a37 test-data/filtered-0.05.tab --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/filtered-0.05.tab Mon Jun 24 13:39:39 2019 -0400 |
| b |
| b'@@ -0,0 +1,43 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|
| b |
| diff -r 000000000000 -r c67dba545a37 test-data/geneMetadata_log.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/geneMetadata_log.tsv Mon Jun 24 13:39:39 2019 -0400 |
| b |
| @@ -0,0 +1,43 @@ +genes mean SD Variance Percentage_Detection mean_condition2 mean_condition1 log2FC statistic p.value p.adjust Significant +ACAD9 3.21757044598762 6.03354965169885 36.4037213995154 23 2.88532585223158 3.38872675186193 -0.50340089963035 6 0.411313791776259 1 FALSE +AKT1 3.4403135511678 6.3127111628083 39.8503222250445 24 3.29486356822599 3.51524233025904 -0.220378762033048 4 NaN NA NA +APIP 1.48573169701519 4.42462910898839 19.5773427521074 11 1.36959754030536 1.5455583838051 -0.175960843499742 5 0.723673609831763 1 FALSE +BAI3 1.40915813751371 4.12336508696455 17.0021396403981 11 1.41059944781951 1.40841564432588 0.00218380349363256 5 0.723673609831763 1 FALSE +BPHL 1.8725575575664 4.76402741808616 22.6959572402767 14 2.36794096575365 1.61736004425781 0.750580921495835 4 NaN NA NA +C3orf62 2.21928690308303 5.23726221704512 27.4289155300884 16 1.99337186851464 2.33566737543644 -0.342295506921804 2 0.288844366346485 1 FALSE +CCT4 5.58991399452656 7.04582138621306 49.6435990064173 40 5.97697998966529 5.39051636066721 0.586463628998078 5.5 0.63859207768502 1 FALSE +CDKN2A 3.14847608508595 5.97643617835182 35.7177893939125 22 2.85206036997725 3.30117508983891 -0.449114719861661 5 0.8 1 FALSE +CHFR 3.2793294035845 6.00856983357212 36.1029114449129 24 2.69677094764966 3.57943527482366 -0.882664327174004 4 NaN NA NA +CHTOP 4.95213087424945 6.69826385145611 44.8667386237237 37 5.12715074739128 4.86196912141881 0.265181625972471 4.5 1 1 FALSE +CLPB 1.20688850619883 3.94292278228986 15.5466400671004 9 1.64019045303295 0.983672351769125 0.656518101263825 3.5 1 1 FALSE +CNOT10 1.35116986328472 4.15039762997951 17.2258004869395 10 0.769393328753782 1.65087292652794 -0.881479597774154 4 NaN NA NA +COQ7 1.81109934358668 4.59246883791874 21.0907700272547 14 2.81750977159578 1.2926454867335 1.52486428486228 3 0.805732790848439 1 FALSE +CYTH4 3.15940473609362 6.446078714101 41.5519307883859 20 2.52965691299695 3.48382028132524 -0.954163368328291 4 NaN NA NA +DIAPH2 2.45173786931265 5.19109016758801 26.9474171280289 19 1.90478386205171 2.73350205487132 -0.828718192819611 2 0.288844366346485 1 FALSE +DUSP14 1.34957110029642 4.17409370205428 17.4230582335292 10 1.22165867778853 1.41546537855805 -0.193806700769524 4 NaN NA NA +FAM63B 2.44551578150534 5.13806432586195 26.3997050166952 20 1.25193652944719 3.0603899416565 -1.80845341220932 3.5 1 1 FALSE +GAPDH 17.6727587681588 4.98787838098139 24.8789307434615 93 18.3959280065131 17.3002170393096 1.09571096720344 0 0.133333333333333 1 FALSE +H3F3C 2.69750936927498 4.35063868472497 18.9280569650254 29 2.19689835219708 2.95539989322421 -0.758501541027127 6 0.411313791776259 1 FALSE +IFRD2 1.56542610972806 4.50279575682847 20.2751696277125 11 1.73709044769323 1.47699296592783 0.260097481765406 1 0.218819415823491 1 FALSE +ISOC2 1.35653919273248 4.13500630208934 17.0982771183186 10 1.16088000029635 1.45733332216928 -0.296453321872929 4 NaN NA NA +ITGB1 5.73749610754924 6.96917363119079 48.569381101685 42 5.92731202994722 5.63971214752604 0.287599882421176 2 0.288844366346485 1 FALSE +LAIR1 5.14073096940228 7.67228689265092 58.8639861631431 32 3.00047442611951 6.24328737048734 -3.24281294436782 4 NaN NA NA +LSAMP 5.40538485683009 7.20340373028298 51.8890253014547 38 7.456451258236 4.34877489246947 3.10767636576653 8 0.133333333333333 1 FALSE +MUM1 3.59113963428165 6.20728875372071 38.5304336720676 26 3.26567136238311 3.75880510768392 -0.493133745300816 5.5 0.63859207768502 1 FALSE +MYO7A 2.08943827729343 5.13674406841985 26.3861396244465 15 2.09929129953666 2.084362477956 0.0149288215806527 4 NaN NA NA +NCAPH2 2.09924645828476 4.9160781393554 24.167824272248 16 2.7402301291671 1.76904274904235 0.971187380124752 5 0.723673609831763 1 FALSE +OBFC2B 2.56257992189769 5.37946105314442 28.9386012222977 19 2.50827678586446 2.59055426470269 -0.0822774788382348 3.5 1 1 FALSE +PARVB 2.21851609168455 4.93366814223579 24.3410813377123 18 2.08303594275959 2.28830889567619 -0.205272952916603 4 NaN NA NA +PSMC3 6.17973106872374 7.13113762893614 50.8531238828289 45 6.07099348144692 6.23574740156331 -0.164753920116381 2 0.460633522588757 1 FALSE +PSPH 3.45898367616203 5.82691731716674 33.9529654210976 27 3.23100704116237 3.57642618510125 -0.345419143938882 8 0.133333333333333 1 FALSE +RABL5 3.2703554589894 5.97444372569743 35.6939778315254 24 3.69997306551525 3.04903729805185 0.650935767463402 4 1 1 FALSE +RNF185 1.46932887276529 4.13672007089318 17.1124529449304 12 1.06620456119726 1.67699897266398 -0.610794411466722 2 0.288844366346485 1 FALSE +SIN3A 4.00526302988229 6.32973969419456 40.0656045962622 30 4.28049583047595 3.86347643563706 0.417019394838893 2.5 0.583882420770365 1 FALSE +SLC15A4 2.6490939213568 5.36541152568955 28.7876408400022 21 2.38443898616311 2.78543131221415 -0.400992326051037 5 0.723673609831763 1 FALSE +SLC4A5 1.85823253159878 4.89934798569655 24.0036106849488 13 2.14955177017941 1.70815898445118 0.441392785728234 4 NaN NA NA +SMYD3 1.11766527425951 3.45565630150241 11.9415604741133 10 1.17955973857534 1.08578024718772 0.0937794913876244 6 0.411313791776259 1 FALSE +TBC1D15 2.64803303609142 5.30241142820209 28.1155669539282 21 4.13093321985626 1.88411475960651 2.24681846024975 4 1 1 FALSE +TMEM132C 0.822592049405892 3.30504805041197 10.923342615532 6 2.0849055246802 0.172309350022156 1.91259617465805 4 NaN NA NA +ZFHX4 2.71178769759176 5.4146903421813 29.3188715017114 21 2.51282638206758 2.81428292074058 -0.301456538672999 4 1 1 FALSE +ZNF454 0.922860300134436 3.46176149331655 11.9837926366092 7 2.03306973832583 0.350934225914629 1.6821355124112 5 0.723673609831763 1 FALSE +ZNF780B 1.00358719015216 3.48539676962484 12.1479906417113 8 1.5525594677108 0.720783289591644 0.831776178119159 5 0.723673609831763 1 FALSE |
| b |
| diff -r 000000000000 -r c67dba545a37 test-data/geneMetadata_nolog.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/geneMetadata_nolog.tsv Mon Jun 24 13:39:39 2019 -0400 |
| b |
| b'@@ -0,0 +1,23369 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SCAN23\t0.92\t5.28898225874632\t27.9733333333333\t6\t0.863636363636364\t0.935897435897436\t-0.115926445211481\t826\t0.524267012354626\t0.993316154786423\tFALSE\n+ZSCAN29\t13.46\t44.2366044324965\t1956.87717171717\t24\t23.2272727272727\t10.7051282051282\t1.11751769380116\t704\t0.0881511485647073\t0.320024156433632\tFALSE\n+ZSCAN30\t19.76\t44.8298962296323\t2009.7195959596\t37\t29.6818181818182\t16.9615384615385\t0.807312435492705\t747\t0.28835039962238\t0.727402603613833\tFALSE\n+ZSCAN4\t0\t0\t0\t0\t0\t0\tNA\t858\tNaN\tNA\tNA\n+ZSCAN5A\t3.47\t15.643409558861\t244.716262626263\t6\t12.6363636363636\t0.884615384615385\t3.83638721617029\t721\t0.00579098041021862\t0.0592225952848966\tFALSE\n+ZSCAN5B\t0.02\t0.2\t0.04\t1\t0.0909090909090909\t0\tInf\t819\t0.0630558447149376\t0.252399828906917\tFALSE\n+ZSWIM1\t1.98\t11.6705448099742\t136.201616161616\t11\t8.68181818181818\t0.0897435897435897\t6.5960445062031\t714.5\t0.0284480431513299\t0.163415406184926\tFALSE\n+ZSWIM2\t2.18\t16.307883697987\t265.947070707071\t2\t0\t2.79487179487179\t-Inf\t880\t0.460699420081267\t0.916301306363014\tFALSE\n+ZSWIM3\t3.15\t16.2003709896416\t262.45202020202\t5\t3.59090909090909\t3.02564102564103\t0.247108299040213\t815\t0.349081829073833\t0.800436942927817\tFALSE\n+ZSWIM4\t3.18\t12.9039810629405\t166.512727272727\t13\t1.22727272727273\t3.73076923076923\t-1.60401724051986\t902\t0.535665778056976\t0.993316154786423\tFALSE\n+ZSWIM5\t4.56\t30.2762766748643\t916.652929292929\t4\t11.0454545454545\t2.73076923076923\t2.01607348360489\t752.5\t0.0100718068248359\t0.0809903585281367\tFALSE\n+ZSWIM6\t3.85\t13.3184576108239\t177.381313131313\t16\t8.36363636363636\t2.57692307692308\t1.69848086510304\t676.5\t0.0182787891343748\t0.121547319770558\tFALSE\n+ZSWIM7\t15.03\t40.1047756545655\t1608.39303030303\t21\t16.5909090909091\t14.5897435897436\t0.185438411685749\t628\t0.00731899248545088\t0.0679230406672026\tFALSE\n+ZUFSP\t1.71\t7.7045113374889\t59.359494949495\t8\t1.81818181818182\t1.67948717948718\t0.114475693574863\t848\t0.866562196838596\t1\tFALSE\n+ZW10\t9.9\t35.4670141245227\t1257.90909090909\t13\t12.4545454545455\t9.17948717948718\t0.440186905921221\t753\t0.136770991678465\t0.43769714236406\tFALSE\n+ZWILCH\t14.89\t48.8286831998397\t2384.2403030303\t16\t22\t12.8846153846154\t0.771854051433255\t782.5\t0.328153798010868\t0.798697838966562\tFALSE\n+ZWINT\t4.58\t33.4423006796404\t1118.38747474747\t4\t6\t4.17948717948718\t0.521636565352327\t753.5\t0.0108079989925571\t0.0848008530185495\tFALSE\n+ZXDA\t5.79\t32.737799794023\t1071.76353535354\t12\t15.1363636363636\t3.15384615384615\t2.26283446195697\t792\t0.334208664703236\t0.799577485898251\tFALSE\n+ZXDB\t11.4\t43.095852761635\t1857.25252525253\t15\t2.27272727272727\t13.974358974359\t-2.62028562966461\t929.5\t0.341586693677617\t0.800436942927817\tFALSE\n+ZXDC\t45.35\t91.3180008143371\t8338.97727272727\t50\t71.1818181818182\t38.0641025641026\t0.903077719529336\t583\t0.0146130770202724\t0.104876653504215\tFALSE\n+ZYG11A\t0.08\t0.706106124166799\t0.498585858585859\t2\t0.318181818181818\t0.0128205128205128\t4.63332552228256\t829.5\t0.336693018711006\t0.799577485898251\tFALSE\n+ZYG11B\t17.75\t45.9502091091185\t2111.42171717172\t25\t37.1363636363636\t12.2820512820513\t1.59628102263445\t538\t0.000471451541486177\t0.0138881306355884\tFALSE\n+ZYX\t181.24\t272.330834156405\t74164.0832323232\t66\t327.681818181818\t139.935897435897\t1.22752952419782\t474\t0.00113107260496839\t0.0221921953256938\tFALSE\n+ZZEF1\t15.34\t51.7181991296306\t2674.77212121212\t20\t12.8181818181818\t16.0512820512821\t-0.324496894308874\t927.5\t0.411156780918533\t0.887157124330959\tFALSE\n+ZZZ3\t15.38\t37.4448496815886\t1402.11676767677\t31\t26.9545454545455\t12.1153846153846\t1.15368837566252\t635\t0.0238567349022538\t0.145785612237413\tFALSE\n' |
| b |
| diff -r 000000000000 -r c67dba545a37 test-data/signature_2columns.tsv --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/signature_2columns.tsv Mon Jun 24 13:39:39 2019 -0400 |
| b |
| @@ -0,0 +1,101 @@ +cell rate +1001000173.B4 LOW +1001000173.A2 LOW +1001000173.E2 LOW +1001000173.F6 LOW +1001000173.B12 LOW +1001000173.H1 HIGH +1001000173.E4 HIGH +1001000173.C2 LOW +1001000173.F4 LOW +1001000173.E10 HIGH +1001000173.E6 LOW +1001000173.C4 HIGH +1001000173.B10 LOW +1001000173.A7 LOW +1001000173.B8 LOW +1001000173.F9 LOW +1001000173.G6 HIGH +1001000173.A9 LOW +1001000173.D2 HIGH +1001000173.F2 LOW +1001000173.H9 LOW +1001000173.G1 LOW +1001000173.B3 LOW +1001000173.D7 HIGH +1001000173.A12 LOW +1001000173.C1 LOW +1001000173.H7 HIGH +1001000173.H5 LOW +1001000173.G2 LOW +1001000173.A3 LOW +1001000173.D3 LOW +1001000173.E1 LOW +1001000173.G12 HIGH +1001000173.C10 HIGH +1001000173.C3 LOW +1001000173.A5 LOW +1001000173.G4 LOW +1001000173.B11 LOW +1001000173.G9 HIGH +1001000173.F1 LOW +1001000173.D8 LOW +1001000173.E12 HIGH +1001000173.F11 LOW +1001000173.E5 LOW +1001000173.G10 LOW +1001000173.B9 LOW +1001000173.C7 HIGH +1001000173.B2 LOW +1001000173.H4 LOW +1001000174.G5 LOW +1001000174.H9 LOW +1001000174.A10 LOW +1001000174.G10 HIGH +1001000174.C8 LOW +1001000174.F6 LOW +1001000174.B4 LOW +1001000174.H7 LOW +1001000174.E10 HIGH +1001000174.D5 LOW +1001000174.E5 LOW +1001000174.B11 LOW +1001000174.F10 LOW +1001000174.A5 LOW +1001000174.B8 LOW +1001000174.F2 LOW +1001000174.F9 HIGH +1001000174.F4 HIGH +1001000174.B6 LOW +1001000174.E2 LOW +1001000174.G2 LOW +1001000174.D8 LOW +1001000174.H6 LOW +1001000174.C3 HIGH +1001000174.B7 LOW +1001000174.A7 LOW +1001000174.H10 LOW +1001000174.F7 HIGH +1001000174.A2 LOW +1001000174.E4 LOW +1001000174.D12 LOW +1001000174.H4 LOW +1001000174.C5 LOW +1001000174.E9 LOW +1001000174.D1 LOW +1001000174.G4 LOW +1001000174.G9 LOW +1001000174.D4 HIGH +1001000174.H11 HIGH +1001000174.A9 LOW +1001000174.A4 HIGH +1001000174.C7 LOW +1001000174.D11 LOW +1001000174.F5 LOW +1001000174.G6 LOW +1001000174.D6 LOW +1001000174.H3 LOW +1001000174.F12 LOW +1001000174.E6 LOW +1001000174.G3 LOW +1001000174.A8 LOW |