Mercurial > repos > iuc > dada2_plotqualityprofile
comparison test-data/gentest.R @ 0:371afe17d247 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/dada2 commit f8b6b6e72914ad6bcca8423dfa03f59bde80992e"
author | iuc |
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date | Fri, 08 Nov 2019 18:52:17 -0500 |
parents | |
children | 2a90d2fd3336 |
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-1:000000000000 | 0:371afe17d247 |
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1 library(dada2, quietly=T) | |
2 library(ggplot2, quietly=T) | |
3 | |
4 fwd <- c('F3D0_S188_L001_R1_001.fastq.gz') | |
5 rev <- c('F3D0_S188_L001_R2_001.fastq.gz') | |
6 | |
7 sample.names <- c('F3D0_S188_L001') | |
8 | |
9 names(fwd) <- sample.names | |
10 names(rev) <- sample.names | |
11 | |
12 | |
13 filt.fwd <- c('filterAndTrim_F3D0_R1.fq.gz') | |
14 filt.rev <- c('filterAndTrim_F3D0_R2.fq.gz') | |
15 | |
16 ftout <- filterAndTrim(fwd, filt.fwd, rev, filt.rev) | |
17 | |
18 # In the test no name can be given to the collection | |
19 rownames(ftout) <- c( 'Unnamed Collection' ) | |
20 write.table(ftout, "filterAndTrim_F3D0.tab", quote=F, sep="\t", col.names=NA) | |
21 | |
22 # Plot quality profile (just for one file, Galaxy compares with sim_size) | |
23 | |
24 qp <- plotQualityProfile(fwd) | |
25 ggsave('qualityProfile.pdf', qp, width = 20,height = 15,units = c("cm")) | |
26 | |
27 # Plot complexity (just for one file, Galaxy compares with sim_size) | |
28 | |
29 cp <- plotComplexity(fwd) | |
30 ggsave('complexity.pdf', cp, width = 20,height = 15,units = c("cm")) | |
31 | |
32 | |
33 # learn Errors | |
34 err.fwd <- learnErrors(filt.fwd) | |
35 saveRDS(err.fwd, file='learnErrors_F3D0_R1.Rdata') | |
36 plot <- plotErrors(err.fwd) | |
37 ggsave('learnErrors_F3D0_R1.pdf', plot, width = 20,height = 15,units = c("cm")) | |
38 | |
39 err.rev <- learnErrors(filt.fwd) | |
40 saveRDS(err.rev, file='learnErrors_F3D0_R2.Rdata') | |
41 plot <- plotErrors(err.rev) | |
42 ggsave('learnErrors_F3D0_R2.pdf', plot, width = 20,height = 15,units = c("cm")) | |
43 | |
44 # dada | |
45 dada.fwd <- dada(filt.fwd, err.fwd) | |
46 saveRDS(dada.fwd, file="dada_F3D0_R1.Rdata") | |
47 dada.rev <- dada(filt.rev, err.rev) | |
48 saveRDS(dada.rev, file="dada_F3D0_R2.Rdata") | |
49 | |
50 # merge pairs | |
51 merged <- mergePairs(dada.fwd, filt.fwd, dada.rev, filt.rev) | |
52 saveRDS(merged, file='mergePairs_F3D0.Rdata') | |
53 | |
54 # make sequence table | |
55 seqtab <- makeSequenceTable(merged) | |
56 write.table(t(seqtab), file="makeSequenceTable_F3D0.tab", quote=F, sep="\t", row.names = T, col.names = NA) | |
57 | |
58 reads.per.seqlen <- tapply(colSums(seqtab), factor(nchar(getSequences(seqtab))), sum) | |
59 df <- data.frame(length=as.numeric(names(reads.per.seqlen)), count=reads.per.seqlen) | |
60 pdf( 'makeSequenceTable_F3D0.pdf' ) | |
61 ggplot(data=df, aes(x=length, y=count)) + | |
62 geom_col() + | |
63 theme_bw() | |
64 bequiet <- dev.off() | |
65 | |
66 # remove bimera | |
67 seqtab.nochim <- removeBimeraDenovo(seqtab) | |
68 write.table(t(seqtab), file="removeBimeraDenovo_F3D0.tab", quote=F, sep="\t", row.names = T, col.names = NA) | |
69 | |
70 # assign taxonomy/species | |
71 tl <- 'Level1,Level2,Level3,Level4,Level5' | |
72 tl <- strsplit(tl, ",")[[1]] | |
73 | |
74 taxa <- assignTaxonomy(seqtab.nochim, 'reference.fa', outputBootstraps = T, taxLevels=c('Level1','Level2','Level3','Level4','Level5')) | |
75 | |
76 taxa$tax <- addSpecies(taxa$tax, 'reference_species.fa') | |
77 write.table(taxa$tax, file = 'assignTaxonomyAddspecies_F3D0.tab', quote = F, sep = "\t", row.names = T, col.names = NA) | |
78 | |
79 write.table(taxa$boot, file = 'assignTaxonomyAddspecies_F3D0_boot.tab', quote = F, sep = "\t", row.names = T, col.names = NA) | |
80 | |
81 | |
82 | |
83 ## Generate extra test data for parameter testing | |
84 | |
85 filterAndTrim(fwd, c('filterAndTrim_single_F3D0_R1.fq.gz'), rm.phix = T, orient.fwd = 'TACGG') | |
86 | |
87 filterAndTrim(fwd, c('filterAndTrim_single_trimmers_F3D0_R1.fq.gz'), truncQ = 30, truncLen = 2, trimLeft = 150, trimRight = 2) | |
88 | |
89 filterAndTrim(fwd, c('filterAndTrim_single_filters_F3D0_R1.fq.gz'), maxLen = 255, minLen = 60, maxN = 100, minQ = 13, maxEE = 1) | |
90 | |
91 | |
92 merged_nondef <- mergePairs(dada.fwd, filt.fwd, dada.rev, filt.rev, minOverlap = 8, maxMismatch = 1, justConcatenate = TRUE, trimOverhang = TRUE) | |
93 saveRDS(merged_nondef, file='mergePairs_F3D0_nondefault.Rdata') | |
94 | |
95 rb.dada.fwd <- removeBimeraDenovo(dada.fwd) | |
96 write.table(rb.dada.fwd, file = 'removeBimeraDenovo_F3D0_dada_uniques.tab', quote = F, sep = "\t", row.names = T, col.names = F) | |
97 | |
98 rb.merged <- removeBimeraDenovo(merged, method="pooled") | |
99 saveRDS(rb.merged, file='removeBimeraDenovo_F3D0_mergepairs.Rdata') |