| Back to Multiple platform build/check report for BioC 3.15 |
|
This page was generated on 2022-10-19 13:20:30 -0400 (Wed, 19 Oct 2022).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 20.04.5 LTS) | x86_64 | 4.2.1 (2022-06-23) -- "Funny-Looking Kid" | 4386 |
| palomino3 | Windows Server 2022 Datacenter | x64 | 4.2.1 (2022-06-23 ucrt) -- "Funny-Looking Kid" | 4138 |
| merida1 | macOS 10.14.6 Mojave | x86_64 | 4.2.1 (2022-06-23) -- "Funny-Looking Kid" | 4205 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
|
To the developers/maintainers of the metaseqR2 package: - Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/metaseqR2.git to reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
| Package 1136/2140 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| metaseqR2 1.8.2 (landing page) Panagiotis Moulos
| nebbiolo1 | Linux (Ubuntu 20.04.5 LTS) / x86_64 | OK | OK | WARNINGS | |||||||||
| palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | WARNINGS | OK | |||||||||
| merida1 | macOS 10.14.6 Mojave / x86_64 | OK | OK | WARNINGS | OK | |||||||||
| Package: metaseqR2 |
| Version: 1.8.2 |
| Command: /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD check --install=check:metaseqR2.install-out.txt --library=/home/biocbuild/bbs-3.15-bioc/R/library --no-vignettes --timings metaseqR2_1.8.2.tar.gz |
| StartedAt: 2022-10-18 20:30:03 -0400 (Tue, 18 Oct 2022) |
| EndedAt: 2022-10-18 20:38:01 -0400 (Tue, 18 Oct 2022) |
| EllapsedTime: 477.9 seconds |
| RetCode: 0 |
| Status: WARNINGS |
| CheckDir: metaseqR2.Rcheck |
| Warnings: 1 |
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### Running command:
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### /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD check --install=check:metaseqR2.install-out.txt --library=/home/biocbuild/bbs-3.15-bioc/R/library --no-vignettes --timings metaseqR2_1.8.2.tar.gz
###
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* using log directory ‘/home/biocbuild/bbs-3.15-bioc/meat/metaseqR2.Rcheck’
* using R version 4.2.1 (2022-06-23)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘metaseqR2/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘metaseqR2’ version ‘1.8.2’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘metaseqR2’ can be installed ... WARNING
Found the following significant warnings:
Warning: replacing previous import ‘GenomicRanges::subtract’ by ‘magrittr::subtract’ when loading ‘metaseqR2’
See ‘/home/biocbuild/bbs-3.15-bioc/meat/metaseqR2.Rcheck/00install.out’ for details.
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking compiled code ... NOTE
Note: information on .o files is not available
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
read2count 8.421 1.653 14.109
statNoiseq 6.564 0.348 6.911
metaseqr2 4.278 0.686 7.805
getAnnotation 1.766 0.100 6.625
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘runTests.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 1 WARNING, 1 NOTE
See
‘/home/biocbuild/bbs-3.15-bioc/meat/metaseqR2.Rcheck/00check.log’
for details.
metaseqR2.Rcheck/00install.out
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### Running command:
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### /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD INSTALL metaseqR2
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* installing to library ‘/home/biocbuild/bbs-3.15-bioc/R/library’
* installing *source* package ‘metaseqR2’ ...
** using staged installation
** libs
gcc -I"/home/biocbuild/bbs-3.15-bioc/R/include" -DNDEBUG -I/usr/local/include -fpic -g -O2 -Wall -c pval.c -o pval.o
pval.c: In function ‘add_from_both_sides’:
pval.c:26:11: warning: unused variable ‘esttotalperlength’ [-Wunused-variable]
26 | double esttotalperlength = total/2;
| ^~~~~~~~~~~~~~~~~
gcc -shared -L/home/biocbuild/bbs-3.15-bioc/R/lib -L/usr/local/lib -o metaseqR2.so pval.o -L/home/biocbuild/bbs-3.15-bioc/R/lib -lR
installing to /home/biocbuild/bbs-3.15-bioc/R/library/00LOCK-metaseqR2/00new/metaseqR2/libs
** R
** data
** inst
** byte-compile and prepare package for lazy loading
Warning: replacing previous import ‘GenomicRanges::subtract’ by ‘magrittr::subtract’ when loading ‘metaseqR2’
Warning: replacing previous import ‘matrixStats::rowMedians’ by ‘Biobase::rowMedians’ when loading ‘DSS’
Warning: replacing previous import ‘matrixStats::anyMissing’ by ‘Biobase::anyMissing’ when loading ‘DSS’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
Warning: replacing previous import ‘GenomicRanges::subtract’ by ‘magrittr::subtract’ when loading ‘metaseqR2’
Warning: replacing previous import ‘matrixStats::rowMedians’ by ‘Biobase::rowMedians’ when loading ‘DSS’
Warning: replacing previous import ‘matrixStats::anyMissing’ by ‘Biobase::anyMissing’ when loading ‘DSS’
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
Warning: replacing previous import ‘GenomicRanges::subtract’ by ‘magrittr::subtract’ when loading ‘metaseqR2’
Warning: replacing previous import ‘matrixStats::rowMedians’ by ‘Biobase::rowMedians’ when loading ‘DSS’
Warning: replacing previous import ‘matrixStats::anyMissing’ by ‘Biobase::anyMissing’ when loading ‘DSS’
** testing if installed package keeps a record of temporary installation path
* DONE (metaseqR2)
metaseqR2.Rcheck/tests/runTests.Rout
R version 4.2.1 (2022-06-23) -- "Funny-Looking Kid"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> BiocGenerics:::testPackage("metaseqR2")
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
tapply, union, unique, unsplit, which.max, which.min
Attaching package: 'S4Vectors'
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Attaching package: 'MatrixGenerics'
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colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
colWeightedMeans, colWeightedMedians, colWeightedSds,
colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
rowWeightedSds, rowWeightedVars
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'Biobase'
The following object is masked from 'package:MatrixGenerics':
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Attaching package: 'limma'
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locfit 1.5-9.6 2022-07-11
Attaching package: 'metaseqR2'
The following object is masked from 'package:limma':
readTargets
Downsampling counts...
Estimating initial dispersion population...
Estimating dispersions using log-likelihood...
Running simulations... This procedure requires time... Please wait...Using Ensembl host https://nov2020.archive.ensembl.org
2022-10-18 20:37:46: Data processing started...
Read counts file: imported custom data frame
Conditions: G1, G2
Samples to include: G1_rep1, G1_rep2, G1_rep3, G2_rep1, G2_rep2, G2_rep3
Samples to exclude: none
Requested contrasts: G1_vs_G2
Annotation: embedded
Organism: mm10
Reference source: ensembl
Count type: gene
Analysis preset: all_basic
Transcriptional level: gene
Exon filters: none applied
Gene filters: none applied
Filter application: postnorm
Normalization algorithm: edaseq
Normalization arguments:
within.which: loess
between.which: full
Statistical algorithm(s): edger, limma
Statistical arguments:
edger: classic, 5, 10, movingave, NULL, grid, 11, c(-6, 6), NULL, CoxReid, 10000, NULL, auto, NULL, NULL, NULL, NULL, 0.125, NULL, auto, chisq, TRUE, FALSE, c(0.05, 0.1)
limma: none
Meta-analysis method: simes
Multiple testing correction: BH
Logarithmic transformation offset: 1
Analysis preset: all_basic
Quality control plots:
Figure format: png
Output directory: /tmp/RtmpfnCYYH
Output data: annotation, p_value, adj_p_value, meta_p_value, adj_meta_p_value, fold_change
Output scale(s): natural, log2
Output values: normalized
Loading gene annotation...
Saving gene model to /tmp/RtmpfnCYYH/data/gene_model.RData
Removing genes with zero counts in all samples...
Normalizing with: edaseq
Running statistical tests with: edger
Contrast: G1_vs_G2
Running statistical tests with: limma
Contrast: G1_vs_G2
Performing meta-analysis with simes
Building output files...
Contrast: G1_vs_G2
Adding non-filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
2022-10-18 20:37:47: Data processing finished!
Total processing time: 00 seconds
Estimating AUFC weights... Please wait...
Processing edger
Processing limma
Retrieving edger
Retrieving limma
2022-10-18 20:37:47: Data processing started...
Read counts file: imported custom data frame
Conditions: e14.5, adult_8_weeks
Samples to include: e14.5_1, e14.5_2, a8w_1, a8w_2
Samples to exclude: none
Requested contrasts: adult_8_weeks_vs_e14.5
Library sizes:
e14.5_1: 3102907
e14.5_2: 2067905
a8w_1: 3742059
a8w_2: 4403954
Annotation: embedded
Organism: mm9
Reference source: ensembl
Count type: gene
Analysis preset: medium_basic
Transcriptional level: gene
Exon filters: minActiveExons
minActiveExons:
exonsPerGene: 5
minExons: 2
frac: 0.2
Gene filters: length, avgReads, expression, biotype
length:
length: 500
avgReads:
averagePerBp: 100
quantile: 0.25
expression:
median: TRUE
mean: FALSE
quantile: NA
known: NA
custom: NA
biotype:
pseudogene: FALSE
snRNA: FALSE
protein_coding: FALSE
antisense: FALSE
miRNA: FALSE
lincRNA: FALSE
snoRNA: FALSE
processed_transcript: FALSE
misc_RNA: FALSE
rRNA: TRUE
sense_overlapping: FALSE
sense_intronic: FALSE
polymorphic_pseudogene: FALSE
non_coding: FALSE
three_prime_overlapping_ncrna: FALSE
IG_C_gene: FALSE
IG_J_gene: FALSE
IG_D_gene: FALSE
IG_V_gene: FALSE
ncrna_host: FALSE
Filter application: postnorm
Normalization algorithm: edger
Normalization arguments:
method: TMM
logratioTrim: 0.3
sumTrim: 0.05
doWeighting: TRUE
Acutoff: -1e+10
p: 0.75
Statistical algorithm(s): edger, limma
Statistical arguments:
edger: classic, 5, 10, movingave, NULL, grid, 11, c(-6, 6), NULL, CoxReid, 10000, NULL, auto, NULL, NULL, NULL, NULL, 0.125, NULL, auto, chisq, TRUE, FALSE, c(0.05, 0.1)
limma: none
Meta-analysis method: simes
Multiple testing correction: BH
p-value threshold: 0.05
Logarithmic transformation offset: 1
Analysis preset: medium_basic
Quality control plots: mds
Figure format: png
Output directory: /tmp/RtmpfnCYYH
Output data: annotation, p_value, adj_p_value, meta_p_value, adj_meta_p_value, fold_change
Output scale(s): natural, log2
Output values: normalized
Loading gene annotation...
Saving gene model to /tmp/RtmpfnCYYH/data/gene_model.RData
Removing genes with zero counts in all samples...
Normalizing with: edger
Applying gene filter length...
Threshold below which ignored: 500
Applying gene filter avgReads...
Threshold below which ignored: 0.0659629215631332
Applying gene filter expression...
Threshold below which ignored: 68
Applying gene filter biotype...
Biotypes ignored: rRNA
2106 genes filtered out
1681 genes remain after filtering
Running statistical tests with: edger
Contrast: adult_8_weeks_vs_e14.5
Contrast adult_8_weeks_vs_e14.5: found 906 genes
Running statistical tests with: limma
Contrast: adult_8_weeks_vs_e14.5
Contrast adult_8_weeks_vs_e14.5: found 911 genes
Performing meta-analysis with simes
Building output files...
Contrast: adult_8_weeks_vs_e14.5
Adding non-filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
Adding filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
Adding report data...
binding annotation...
binding meta p-values...
binding adjusted meta p-values...
binding log2 normalized fold changes...
binding normalized mean counts...
binding normalized mean counts...
Creating quality control graphs...
Plotting in png format...
Plotting mds...
Importing mds...
Writing plot database in /tmp/RtmpfnCYYH/data/reportdb.js
Creating HTML report...
Compressing figures... adding: tmp/RtmpfnCYYH/plots/qc/mds.png (deflated 52%)
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processing file: metaseqr2_report.Rmd
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Loading required package: viridis
Loading required package: viridisLite
======================
Welcome to heatmaply version 1.4.0
Type citation('heatmaply') for how to cite the package.
Type ?heatmaply for the main documentation.
The github page is: https://github.com/talgalili/heatmaply/
Please submit your suggestions and bug-reports at: https://github.com/talgalili/heatmaply/issues
You may ask questions at stackoverflow, use the r and heatmaply tags:
https://stackoverflow.com/questions/tagged/heatmaply
======================
Attaching package: 'heatmaply'
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$ engine: chr "js"
output file: metaseqr2_report.knit.md
/usr/bin/pandoc +RTS -K512m -RTS metaseqr2_report.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output /tmp/RtmpfnCYYH/index.html --lua-filter /home/biocbuild/bbs-3.15-bioc/R/library/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /home/biocbuild/bbs-3.15-bioc/R/library/rmarkdown/rmarkdown/lua/latex-div.lua +RTS -K2048m -RTS --variable 'material:true' --variable 'lightbox:true' --variable 'thumbnails:true' --variable 'gallery:true' --variable 'cards:true' --variable bs3=TRUE --standalone --section-divs --table-of-contents --toc-depth 1 --template /home/biocbuild/bbs-3.15-bioc/R/library/rmdformats/templates/material/material.html --highlight-style kate --variable theme=bootstrap --include-in-header /tmp/RtmpfnCYYH/rmarkdown-strd17da680bfea7.html
Output created: /tmp/RtmpfnCYYH/index.html
2022-10-18 20:37:56: Data processing finished!
Total processing time: 08 seconds
RUNIT TEST PROTOCOL -- Tue Oct 18 20:37:56 2022
***********************************************
Number of test functions: 2
Number of errors: 0
Number of failures: 0
1 Test Suite :
metaseqR2 RUnit Tests - 2 test functions, 0 errors, 0 failures
Number of test functions: 2
Number of errors: 0
Number of failures: 0
There were 50 or more warnings (use warnings() to see the first 50)
>
> proc.time()
user system elapsed
28.014 2.432 41.978
metaseqR2.Rcheck/metaseqR2-Ex.timings
| name | user | system | elapsed | |
| buildAnnotationDatabase | 0.001 | 0.000 | 0.001 | |
| buildCustomAnnotation | 4.129 | 0.256 | 4.385 | |
| combineBonferroni | 0.000 | 0.000 | 0.001 | |
| combineHarmonic | 0.002 | 0.000 | 0.001 | |
| combineMaxp | 0 | 0 | 0 | |
| combineMinp | 0 | 0 | 0 | |
| combineSimes | 0.001 | 0.000 | 0.001 | |
| combineWeight | 0.001 | 0.000 | 0.001 | |
| createSignalTracks | 0.981 | 0.063 | 1.064 | |
| diagplotAvgFtd | 0.046 | 0.000 | 0.045 | |
| diagplotBoxplot | 0.622 | 0.012 | 0.634 | |
| diagplotCor | 0.185 | 0.004 | 0.188 | |
| diagplotDeHeatmap | 0.722 | 0.000 | 0.723 | |
| diagplotEdaseq | 0.379 | 0.012 | 0.391 | |
| diagplotFiltered | 0.025 | 0.000 | 0.025 | |
| diagplotFtd | 0.013 | 0.004 | 0.017 | |
| diagplotMds | 0.219 | 0.000 | 0.219 | |
| diagplotNoiseq | 0.428 | 0.016 | 0.443 | |
| diagplotPairs | 0.813 | 0.008 | 0.822 | |
| diagplotRoc | 0.018 | 0.000 | 0.018 | |
| diagplotVenn | 0.154 | 0.004 | 0.159 | |
| diagplotVolcano | 2.591 | 0.160 | 2.751 | |
| downsampleCounts | 0.210 | 0.004 | 0.215 | |
| estimateAufcWeights | 0.847 | 0.064 | 0.919 | |
| estimateSimParams | 0.665 | 0.040 | 0.703 | |
| getAnnotation | 1.766 | 0.100 | 6.625 | |
| getDefaults | 0 | 0 | 0 | |
| getInstalledAnnotations | 0.001 | 0.000 | 0.001 | |
| getWeights | 0 | 0 | 0 | |
| importCustomAnnotation | 0.850 | 0.079 | 0.929 | |
| loadAnnotation | 0.001 | 0.000 | 0.001 | |
| makeSimDataSd | 0.755 | 0.079 | 0.847 | |
| makeSimDataTcc | 1.927 | 0.220 | 2.150 | |
| metaTest | 0.006 | 0.012 | 0.033 | |
| metaseqr2 | 4.278 | 0.686 | 7.805 | |
| metaseqrPlot | 0.569 | 0.024 | 0.594 | |
| normalizeAbsseq | 0.659 | 0.092 | 0.750 | |
| normalizeDeseq | 0.147 | 0.012 | 0.159 | |
| normalizeDeseq2 | 0.524 | 0.020 | 0.544 | |
| normalizeDss | 0.250 | 0.012 | 0.263 | |
| normalizeEdaseq | 0.361 | 0.016 | 0.377 | |
| normalizeEdger | 0.110 | 0.012 | 0.122 | |
| normalizeNbpseq | 0.092 | 0.028 | 0.121 | |
| normalizeNoiseq | 0.178 | 0.027 | 0.206 | |
| read2count | 8.421 | 1.653 | 14.109 | |
| readTargets | 0.024 | 0.002 | 0.027 | |
| statAbsseq | 1.259 | 0.084 | 1.342 | |
| statBayseq | 0.516 | 0.012 | 0.527 | |
| statDeseq | 0.972 | 0.020 | 0.992 | |
| statDeseq2 | 3.409 | 0.256 | 3.664 | |
| statDss | 0.642 | 0.032 | 0.675 | |
| statEdger | 0.520 | 0.028 | 0.547 | |
| statLimma | 0.250 | 0.008 | 0.257 | |
| statNbpseq | 0.934 | 0.016 | 0.950 | |
| statNoiseq | 6.564 | 0.348 | 6.911 | |