| Previous changeset 2:c48d42d65d2b (2020-03-16) Next changeset 4:8c202e741d68 (2021-02-01) |
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Commit message:
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/dada2 commit 8533fe71d1d50f09348da2dc34941724407a1ffe" |
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modified:
dada2_learnErrors.xml macros.xml static/images/pairpipe.png static/images/pairpipe.svg test-data/gentest.R |
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removed:
test-data/learnErrors.pdf test-data/learnErrors_R1.pdf |
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| diff -r c48d42d65d2b -r afdfa35a89d9 dada2_learnErrors.xml --- a/dada2_learnErrors.xml Mon Mar 16 07:44:03 2020 -0400 +++ b/dada2_learnErrors.xml Tue Jul 14 07:38:24 2020 -0400 |
| [ |
| @@ -59,7 +59,12 @@ <test> <param name="fls" value="filterAndTrim_F3D0_R1.fq.gz,filterAndTrim_F3D141_R1.fq.gz" ftype="fastqsanger.gz"/> <output name="errors" value="learnErrors_R1.Rdata" ftype="dada2_errorrates" compare="sim_size" delta="7000"/> - <output name="plot" value="learnErrors_R1.pdf" ftype="pdf" compare="sim_size" delta="5000" /> + <output name="plot" ftype="pdf"> + <assert_contents> + <has_text text="%PDF"/> + <has_text text="%%EOF"/> + </assert_contents> + </output> </test> <!-- test w non-default parameters --> <test> @@ -74,7 +79,12 @@ <param name="plotopt|err_in" value="TRUE" /> <param name="plotopt|nominalQ" value="FALSE"/> <output name="errors" value="learnErrors_R1.Rdata" ftype="dada2_errorrates" compare="sim_size" delta="13000"/> - <output name="plot" value="learnErrors_R1.pdf" ftype="pdf" compare="sim_size" delta="5000" /> + <output name="plot" ftype="pdf"> + <assert_contents> + <has_text text="%PDF"/> + <has_text text="%%EOF"/> + </assert_contents> + </output> </test> </tests> <help><![CDATA[ |
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| diff -r c48d42d65d2b -r afdfa35a89d9 macros.xml --- a/macros.xml Mon Mar 16 07:44:03 2020 -0400 +++ b/macros.xml Tue Jul 14 07:38:24 2020 -0400 |
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| @@ -7,7 +7,7 @@ </requirements> </xml> - <token name="@DADA2_VERSION@">1.14</token> + <token name="@DADA2_VERSION@">1.16</token> <token name="@WRAPPER_VERSION@">0</token> <xml name="version_command"> @@ -124,6 +124,9 @@ .. image:: pairpipe.png +Note: In particular for the analysis of paired collections the collections should be sorted lexicographical +before the analysis. + For single end data you the steps "Unzip collection" and "mergePairs" are not necessary. More information may be found on the dada2 homepage:: https://benjjneb.github.io/dada2/index.html (in particular tutorials) or the documentation of dada2's R package https://bioconductor.org/packages/release/bioc/html/dada2.html (in particular the pdf which contains the full documentation of all parameters) |
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| diff -r c48d42d65d2b -r afdfa35a89d9 static/images/pairpipe.png |
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| Binary file static/images/pairpipe.png has changed |
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| diff -r c48d42d65d2b -r afdfa35a89d9 static/images/pairpipe.svg --- a/static/images/pairpipe.svg Mon Mar 16 07:44:03 2020 -0400 +++ b/static/images/pairpipe.svg Tue Jul 14 07:38:24 2020 -0400 |
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| b'@@ -24,7 +24,7 @@\n <dc:format>image/svg+xml</dc:format>\n <dc:type\n rdf:resource="http://purl.org/dc/dcmitype/StillImage" />\n- <dc:title></dc:title>\n+ <dc:title />\n </cc:Work>\n </rdf:RDF>\n </metadata>\n@@ -37,16 +37,16 @@\n guidetolerance="10"\n inkscape:pageopacity="0"\n inkscape:pageshadow="2"\n- inkscape:window-width="1920"\n- inkscape:window-height="1016"\n+ inkscape:window-width="1680"\n+ inkscape:window-height="986"\n id="namedview386"\n showgrid="false"\n inkscape:snap-global="true"\n inkscape:snap-bbox="false"\n inkscape:object-paths="true"\n- inkscape:zoom="1"\n- inkscape:cx="650.80177"\n- inkscape:cy="176.12189"\n+ inkscape:zoom="2"\n+ inkscape:cx="336.68624"\n+ inkscape:cy="192.12189"\n inkscape:window-x="0"\n inkscape:window-y="27"\n inkscape:window-maximized="1"\n@@ -443,22 +443,22 @@\n </marker>\n </defs>\n <path\n- style="stroke:#000000;marker-end:url(#id2)"\n- d="m 117.55976,114.5 h 42"\n+ style="stroke:#000000;stroke-width:0.93333333;marker-end:url(#id2);stroke-miterlimit:4;stroke-dasharray:none"\n+ d="m 117.55976,114.5 h 34.86"\n id="line138"\n inkscape:connector-curvature="0"\n sodipodi:nodetypes="cc" />\n <rect\n height="30.245491"\n width="116.46159"\n- x="165.14262"\n- y="0.37725419"\n+ x="174.14262"\n+ y="3.3772583"\n id="rect80"\n style="fill:#ebd9b2;stroke:#000000;stroke-width:0.75450838" />\n <text\n id="text188"\n- y="20.499996"\n- x="170.26537"\n+ y="23.5"\n+ x="179.26537"\n style="font-size:14px;font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif">plotQualityProfile</text>\n <rect\n height="30.184877"\n@@ -483,9 +483,9 @@\n inkscape:connector-curvature="0"\n id="path5591"\n d="m 971.55976,116.5 h 42.00004"\n- style="stroke:#000000;marker-end:url(#id2)" />\n+ style="stroke:#000000;marker-end:url(#id2);stroke-width:0.93333333;stroke-miterlimit:4;stroke-dasharray:none" />\n <path\n- style="stroke:#000000;marker-end:url(#id2)"\n+ style="stroke:#000000;marker-end:url(#id2);stroke-width:0.93333333;stroke-miterlimit:4;stroke-dasharray:none"\n d="m 1167.5598,116.5 h 42"\n id="path5593"\n inkscape:connector-curvature="0"\n@@ -494,8 +494,8 @@\n sodipodi:nodetypes="cc"\n inkscape:connector-curvature="0"\n id="path5557"\n- d="m 255.55976,114.5 h 42"\n- style="stroke:#000000;marker-end:url(#id2)" />\n+ d="m 283.77925,110.5 h 33.78051"\n+ style="stroke:#000000;stroke-width:0.93333333;marker-end:url(#id2);stroke-miterlimit:4;stroke-dasharray:none" />\n <g\n id="g5364"\n transform="translate(-1226.0934,-496.75423)">\n@@ -524,7 +524,7 @@\n sodipodi:role="line">and addSpecies</tspan></text>\n </g>\n <path\n- style="stroke:#000000;marker-end:url(#id2)"\n+ style="stroke:#000000;marker-end:url(#id2);stroke-width:0.93333333;stroke-miterlimit:4;stroke-dasharray:none"\n d="m 545.55976,90.499996 h 42"\n id="path5573"\n inkscape:connector-curvature="0"\n@@ -534,21 +534,21 @@\n inkscape:connector-curvature="0"\n id="path5575"\n d="m 545.55976,150.5 h 42"\n- style="stroke:#000000;marker-end:url(#id2)" />\n+ style="stroke:#000000;marker-end:url(#id2);stroke-width:0.93333333;stroke-miterlimit:4;stroke-dasharray:none" />\n <path\n sodipodi:nodetypes="cc"\n inkscape:connector-curvature="0"\n id="path5597"\n d="m 645.55976,90.499996 555.87494,-54.3773"\n- style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#id2)" />\n+ style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:0.93333333;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#id2);stroke-miterlimit:4;stroke-dasharray:none" />\n <path\n- style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px'..b'd="path1293"\n inkscape:connector-curvature="0"\n@@ -886,26 +850,78 @@\n inkscape:connector-curvature="0"\n sodipodi:nodetypes="cc" />\n <path\n- style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"\n+ style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:0.93333333;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none"\n d="m 421.55976,124.5 274.19828,-2.49999"\n id="path1297"\n inkscape:connector-curvature="0" />\n <rect\n style="fill:#ebd9b2;stroke:#000000;stroke-width:0.70499283"\n id="rect1299"\n- y="40.352497"\n- x="165.11786"\n+ y="43.352493"\n+ x="174.11786"\n width="101.51111"\n height="30.295006" />\n <text\n style="font-size:14px;font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif"\n- x="170.26537"\n- y="60.499992"\n+ x="179.26537"\n+ y="63.5"\n id="text1301">plotComplexity</text>\n <path\n- style="stroke:#000000;marker-end:url(#id2)"\n- d="M 117.55976,114.5 161.14262,60.499995"\n+ style="stroke:#000000;stroke-width:0.93333334;stroke-miterlimit:4;stroke-dasharray:none;marker-end:url(#id2)"\n+ d="M 121.78486,109.34886 168.30515,76.42082"\n id="path1307"\n inkscape:connector-curvature="0"\n sodipodi:nodetypes="cc" />\n+ <circle\n+ style="font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif;fill:#ffffff;stroke:#000000"\n+ id="circle1296"\n+ r="5"\n+ cy="123.25001"\n+ cx="417.11923" />\n+ <rect\n+ height="42.187313"\n+ width="117.18732"\n+ x="160.37244"\n+ y="95.906334"\n+ id="rect1298"\n+ style="fill:#ebd9b2;stroke:#000000;stroke-width:0.74489039" />\n+ <text\n+ xml:space="preserve"\n+ style="font-style:normal;font-weight:normal;font-size:20px;line-height:100%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"\n+ x="162.1783"\n+ y="111.53393"\n+ id="text1306"><tspan\n+ sodipodi:role="line"\n+ id="tspan1300"\n+ x="162.1783"\n+ y="111.53393"\n+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:14.66666698px;line-height:0.99999998%;font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif;-inkscape-font-specification:\'Helvetica, Arial, FreeSans, Sans, sans, sans-serif\'">Unzip & Sort</tspan><tspan\n+ sodipodi:role="line"\n+ x="162.1783"\n+ y="131.53394"\n+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:14.66666698px;line-height:0.99999998%;font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif;-inkscape-font-specification:\'Helvetica, Arial, FreeSans, Sans, sans, sans-serif\'"\n+ id="tspan1302">dataset collection</tspan><tspan\n+ sodipodi:role="line"\n+ x="162.1783"\n+ y="151.53394"\n+ id="tspan1304"\n+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:14.66666698px;line-height:0.99999998%;font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif;-inkscape-font-specification:\'Helvetica, Arial, FreeSans, Sans, sans, sans-serif\'" /></text>\n+ <circle\n+ style="font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif;fill:#ffffff;stroke:#000000"\n+ id="circle1310"\n+ r="5"\n+ cy="110.5"\n+ cx="277.11923" />\n+ <circle\n+ cx="277.11923"\n+ cy="123.25001"\n+ r="5"\n+ id="circle1312"\n+ style="font-family:Helvetica, Arial, FreeSans, Sans, sans, sans-serif;fill:#ffffff;stroke:#000000" />\n+ <path\n+ style="stroke:#000000;stroke-width:0.93333333;marker-end:url(#id2);stroke-miterlimit:4;stroke-dasharray:none"\n+ d="m 283.77925,122.5 h 33.78051"\n+ id="path1314"\n+ inkscape:connector-curvature="0"\n+ sodipodi:nodetypes="cc" />\n </svg>\n' |
| b |
| diff -r c48d42d65d2b -r afdfa35a89d9 test-data/gentest.R --- a/test-data/gentest.R Mon Mar 16 07:44:03 2020 -0400 +++ b/test-data/gentest.R Tue Jul 14 07:38:24 2020 -0400 |
| [ |
| b'@@ -1,192 +1,186 @@\n-library(dada2, quietly=T)\n-library(ggplot2, quietly=T)\n+library(dada2, quietly = T)\n+library(ggplot2, quietly = T)\n \n-sample.names <- c(\'F3D0_S188_L001\', \'F3D141_S207_L001\')\n-fwd <- c(\'F3D0_S188_L001_R1_001.fastq.gz\', \'F3D141_S207_L001_R1_001.fastq.gz\')\n-rev <- c(\'F3D0_S188_L001_R2_001.fastq.gz\', \'F3D141_S207_L001_R2_001.fastq.gz\')\n+sample_names <- c("F3D0_S188_L001", "F3D141_S207_L001")\n+fwd <- c("F3D0_S188_L001_R1_001.fastq.gz", "F3D141_S207_L001_R1_001.fastq.gz")\n+rev <- c("F3D0_S188_L001_R2_001.fastq.gz", "F3D141_S207_L001_R2_001.fastq.gz")\n \n-filt.fwd <- c(\'filterAndTrim_F3D0_R1.fq.gz\', \'filterAndTrim_F3D141_R1.fq.gz\')\n-filt.rev <- c(\'filterAndTrim_F3D0_R2.fq.gz\', \'filterAndTrim_F3D141_R2.fq.gz\')\n+filt_fwd <- c("filterAndTrim_F3D0_R1.fq.gz", "filterAndTrim_F3D141_R1.fq.gz")\n+filt_rev <- c("filterAndTrim_F3D0_R2.fq.gz", "filterAndTrim_F3D141_R2.fq.gz")\n \n print("filterAndTrim")\n \n-for(i in 1:length(fwd)){\n-\tftout <- filterAndTrim(fwd[i], filt.fwd[i], rev[i], filt.rev[i])\n- b <- paste(strsplit(fwd[i], ".", fixed=T)[[1]][1], "tab", sep=".")\n- write.table(ftout, b, quote=F, sep="\\t", col.names=NA)\n+for (i in seq_len(fwd)) {\n+ ftout <- dada2::filterAndTrim(fwd[i], filt_fwd[i], rev[i], filt_rev[i])\n+ b <- paste(strsplit(fwd[i], ".", fixed = T)[[1]][1], "tab", sep = ".")\n+ write.table(ftout, b, quote = F, sep = "\\t", col.names = NA)\n }\n \n # In the test only the 1st data set is used\n t <- data.frame()\n-t <- rbind(t, ftout[1,])\n+t <- rbind(t, ftout[1, ])\n colnames(t) <- colnames(ftout)\n rownames(t) <- rownames(ftout)[1]\n-write.table(t, "filterAndTrim.tab", quote=F, sep="\\t", col.names=NA)\n+write.table(t, "filterAndTrim.tab", quote = F, sep = "\\t", col.names = NA)\n \n-names(fwd) <- sample.names\n-names(rev) <- sample.names\n-names(filt.fwd) <- sample.names\n-names(filt.rev) <- sample.names\n+names(fwd) <- sample_names\n+names(rev) <- sample_names\n+names(filt_fwd) <- sample_names\n+names(filt_rev) <- sample_names\n \n # Plot quality profile (just for one file, Galaxy compares with sim_size)\n print("plots")\n-qp <- plotQualityProfile(fwd)\n-ggsave(\'qualityProfile_fwd.pdf\', qp, width = 20,height = 15,units = c("cm"))\n-qp <- plotQualityProfile(rev)\n-ggsave(\'qualityProfile_rev.pdf\', qp, width = 20,height = 15,units = c("cm"))\n-qp <- plotQualityProfile(fwd[1])\n-ggsave(\'qualityProfile.pdf\', qp, width = 20,height = 15,units = c("cm"))\n+qp <- dada2::plotQualityProfile(fwd)\n+ggsave("qualityProfile_fwd.pdf", qp, width = 20, height = 15, units = c("cm"))\n+qp <- dada2::plotQualityProfile(rev)\n+ggsave("qualityProfile_rev.pdf", qp, width = 20, height = 15, units = c("cm"))\n+qp <- dada2::plotQualityProfile(fwd[1])\n+ggsave("qualityProfile.pdf", qp, width = 20, height = 15, units = c("cm"))\n \n # Plot complexity (just for one file, Galaxy compares with sim_size)\n \n-cp <- plotComplexity(fwd)\n-ggsave(\'complexity_fwd.pdf\', cp, width = 20,height = 15,units = c("cm"))\n-cp <- plotComplexity(rev)\n-ggsave(\'complexity_rev.pdf\', cp, width = 20,height = 15,units = c("cm"))\n-cp <- plotComplexity(fwd[1])\n-ggsave(\'complexity.pdf\', cp, width = 20,height = 15,units = c("cm"))\n+cp <- dada2::plotComplexity(fwd)\n+ggsave("complexity_fwd.pdf", cp, width = 20, height = 15, units = c("cm"))\n+cp <- dada2::plotComplexity(rev)\n+ggsave("complexity_rev.pdf", cp, width = 20, height = 15, units = c("cm"))\n+cp <- dada2::plotComplexity(fwd[1])\n+ggsave("complexity.pdf", cp, width = 20, height = 15, units = c("cm"))\n \n \n # learn Errors\n print("learnErrors")\n-err.fwd <- learnErrors(filt.fwd) \n-saveRDS(err.fwd, file=\'learnErrors_R1.Rdata\')\n-plot <- plotErrors(err.fwd)\n-ggsave(\'learnErrors_R1.pdf\', plot, width = 20,height = 15,units = c("cm"))\n+err_fwd <- dada2::learnErrors(filt_fwd)\n+saveRDS(err_fwd, file = "learnErrors_R1.Rdata")\n+plot <- dada2::plotErrors(err_fwd)\n+ggsave("learnErrors_R1.pdf", plot, width = 20, height = 15, units = c("cm"))\n \n-err.rev <- learnErrors(filt.rev) \n-saveRDS(err.rev, file=\'learnErrors_R2.Rdata\')\n-plot <- plotErrors(err.rev)\n-ggsav'..b' "seqCounts_filter.tab", quote = F, sep = "\\t", row.names = F, col.names = T)\n \n-samples = list()\n-samples[["F3D0_S188_L001_R1_001.tab"]] <- read.table("F3D0_S188_L001_R1_001.tab", header=T, sep="\\t", row.names=1)\n-samples[["F3D141_S207_L001_R1_001.tab"]] <- read.table("F3D141_S207_L001_R1_001.tab", header=T, sep="\\t", row.names=1)\n+samples <- list()\n+samples[["F3D0_S188_L001_R1_001.tab"]] <- read.table("F3D0_S188_L001_R1_001.tab", header = T, sep = "\\t", row.names = 1)\n+samples[["F3D141_S207_L001_R1_001.tab"]] <- read.table("F3D141_S207_L001_R1_001.tab", header = T, sep = "\\t", row.names = 1)\n dname <- "filter"\n tdf <- samples[["F3D0_S188_L001_R1_001.tab"]]\n tdf <- rbind(tdf, samples[["F3D141_S207_L001_R1_001.tab"]])\n-names(tdf) <- paste( dname, names(tdf) )\n-tdf <- cbind( data.frame(samples=names( samples )), tdf)\n-write.table(tdf, "seqCounts_filter_both.tab", quote=F, sep="\\t", row.names = F, col.names = T)\n+names(tdf) <- paste(dname, names(tdf))\n+tdf <- cbind(data.frame(samples = names(samples)), tdf)\n+write.table(tdf, "seqCounts_filter_both.tab", quote = F, sep = "\\t", row.names = F, col.names = T)\n \n print("seqCounts dada")\n-samples = list()\n-samples[["dada_F3D0_S188_L001_R1.Rdata"]] <- readRDS(\'dada_F3D0_S188_L001_R1.Rdata\')\n-samples[["dada_F3D141_S207_L001_R1.Rdata"]] <- readRDS(\'dada_F3D141_S207_L001_R1.Rdata\')\n+samples <- list()\n+samples[["dada_F3D0_S188_L001_R1.Rdata"]] <- readRDS("dada_F3D0_S188_L001_R1.Rdata")\n+samples[["dada_F3D141_S207_L001_R1.Rdata"]] <- readRDS("dada_F3D141_S207_L001_R1.Rdata")\n dname <- "dadaF"\n-tdf <- data.frame( samples = names(samples) )\n-tdf[[ dname ]] <- sapply(samples, getN)\n-write.table(tdf, "seqCounts_dadaF.tab", quote=F, sep="\\t", row.names = F, col.names = T)\n+tdf <- data.frame(samples = names(samples))\n+tdf[[dname]] <- sapply(samples, get_n)\n+write.table(tdf, "seqCounts_dadaF.tab", quote = F, sep = "\\t", row.names = F, col.names = T)\n \n print("seqCounts mp")\n-samples = list()\n-samples[["mergePairs_F3D0_S188_L001.Rdata"]] <- readRDS(\'mergePairs_F3D0_S188_L001.Rdata\')\n-samples[["mergePairs_F3D141_S207_L001.Rdata"]] <- readRDS(\'mergePairs_F3D141_S207_L001.Rdata\')\n+samples <- list()\n+samples[["mergePairs_F3D0_S188_L001.Rdata"]] <- readRDS("mergePairs_F3D0_S188_L001.Rdata")\n+samples[["mergePairs_F3D141_S207_L001.Rdata"]] <- readRDS("mergePairs_F3D141_S207_L001.Rdata")\n dname <- "merge"\n-tdf <- data.frame( samples = names(samples) )\n-tdf[[ dname ]] <- sapply(samples, getN)\n-write.table(tdf, "seqCounts_merge.tab", quote=F, sep="\\t", row.names = F, col.names = T)\n+tdf <- data.frame(samples = names(samples))\n+tdf[[dname]] <- sapply(samples, get_n)\n+write.table(tdf, "seqCounts_merge.tab", quote = F, sep = "\\t", row.names = F, col.names = T)\n \n print("seqCounts st")\n-samples = list()\n-samples <- t(as.matrix( read.table("makeSequenceTable.tab", header=T, sep="\\t", row.names=1) ))\n+samples <- list()\n+samples <- t(as.matrix(read.table("makeSequenceTable.tab", header = T, sep = "\\t", row.names = 1)))\n dname <- "seqtab"\n-tdf <- data.frame( samples = row.names(samples) )\n-tdf[[ dname ]] <- rowSums(samples)\n-write.table(tdf, "seqCounts_seqtab.tab", quote=F, sep="\\t", row.names = F, col.names = T)\n+tdf <- data.frame(samples = row.names(samples))\n+tdf[[dname]] <- rowSums(samples)\n+write.table(tdf, "seqCounts_seqtab.tab", quote = F, sep = "\\t", row.names = F, col.names = T)\n \n print("seqCounts rb")\n-samples = list()\n-samples <- t(as.matrix( read.table("removeBimeraDenovo.tab", header=T, sep="\\t", row.names=1) ))\n+samples <- list()\n+samples <- t(as.matrix(read.table("removeBimeraDenovo.tab", header = T, sep = "\\t", row.names = 1)))\n dname <- "nochim"\n-tdf <- data.frame( samples = row.names(samples) )\n-tdf[[ dname ]] <- rowSums(samples)\n-write.table(tdf, "seqCounts_nochim.tab", quote=F, sep="\\t", row.names = F, col.names = T)\n-\n+tdf <- data.frame(samples = row.names(samples))\n+tdf[[dname]] <- rowSums(samples)\n+write.table(tdf, "seqCounts_nochim.tab", quote = F, sep = "\\t", row.names = F, col.names = T)\n' |
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