This page was generated on 2020-10-17 11:58:54 -0400 (Sat, 17 Oct 2020).
metaseqR2 1.0.11 Panagiotis Moulos
Snapshot Date: 2020-10-16 14:40:19 -0400 (Fri, 16 Oct 2020) |
URL: https://git.bioconductor.org/packages/metaseqR2 |
Branch: RELEASE_3_11 |
Last Commit: 19c39e0 |
Last Changed Date: 2020-04-29 08:32:33 -0400 (Wed, 29 Apr 2020) |
| malbec2 | Linux (Ubuntu 18.04.4 LTS) / x86_64 | OK | OK | OK | | |
tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | OK | OK | |
machv2 | macOS 10.14.6 Mojave / x86_64 | OK | OK | [ OK ] | OK | |
R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin17.0 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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'citation()' on how to cite R or R packages in publications.
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> BiocGenerics:::testPackage("metaseqR2")
Attaching package: 'BiocGenerics'
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clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
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lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
tapply, union, unique, unsplit, which, which.max, which.min
Attaching package: 'S4Vectors'
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Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'matrixStats'
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Attaching package: 'limma'
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locfit 1.5-9.4 2020-03-24
Attaching package: 'metaseqR2'
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readTargets
Downsampling counts...
Estimating initial dispersion population...
Estimating dispersions using log-likelihood...
Running simulations... This procedure requires time... Please wait...Using Ensembl host http://may2012.archive.ensembl.org
2020-10-17 03:01:42: 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: mm9
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: 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/RtmpNPblJo
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/RtmpNPblJo/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...
2020-10-17 03:01:43: Data processing finished!
Total processing time: 00 seconds
Estimating AUFC weights... Please wait...
Processing edger
Processing limma
Retrieving edger
Retrieving limma
2020-10-17 03:01:44: 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: 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/RtmpNPblJo
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/RtmpNPblJo/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/RtmpNPblJo/data/reportdb.js
Creating HTML report...
Compressing figures... adding: tmp/RtmpNPblJo/plots/qc/mds.png (deflated 61%)
Downloading required JavaScript libraries...trying URL 'https://raw.github.com/HubSpot/pace/v1.0.0/pace.min.js'
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processing file: metaseqr2_report.Rmd
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Attaching package: 'gplots'
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Loading required package: plotly
Loading required package: ggplot2
Attaching package: 'plotly'
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Loading required package: viridis
Loading required package: viridisLite
======================
Welcome to heatmaply version 1.1.1
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
Or contact: <tal.galili@gmail.com>
======================
Attaching package: 'heatmaply'
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output file: metaseqr2_report.knit.md
/usr/local/bin/pandoc +RTS -K512m -RTS metaseqr2_report.utf8.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output /private/tmp/RtmpNPblJo/index.html --lua-filter /Library/Frameworks/R.framework/Versions/4.0/Resources/library/rmarkdown/rmarkdown/lua/pagebreak.lua --lua-filter /Library/Frameworks/R.framework/Versions/4.0/Resources/library/rmarkdown/rmarkdown/lua/latex-div.lua --email-obfuscation none +RTS -K2048m -RTS --variable 'lightbox:true' --variable 'thumbnails:true' --variable 'gallery:true' --variable 'cards:true' --standalone --section-divs --table-of-contents --toc-depth 1 --template /Library/Frameworks/R.framework/Versions/4.0/Resources/library/rmdformats/templates/material/material.html --highlight-style kate --variable 'theme:bootstrap' --include-in-header /tmp/RtmpNPblJo/rmarkdown-strb12136b6c25.html --mathjax
Output created: /private/tmp/RtmpNPblJo/index.html
2020-10-17 03:01:56: Data processing finished!
Total processing time: 12 seconds
RUNIT TEST PROTOCOL -- Sat Oct 17 03:01:56 2020
***********************************************
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
37.571 1.794 49.816