r-bioc-edger 3.2.3~dfsg-1 source package in Ubuntu
Changelog
r-bioc-edger (3.2.3~dfsg-1) unstable; urgency=low [ Charles Plessy ] 74f1a5f Imported Upstream version 2.6.10~dfsg d2d70ab Corrected VCS URLs. 44c9d4e Regression tests for autopkgtest. [ Andreas Tille ] * Imported new upstream version 3.2.3~dfsg * debian/control - Added myself as Uploader - Add ${shlibs:Depends} to ensure dependency from libc - Removed DM-Upload-Allowed - Standards-Version: 3.9.4 (no changes needed) - Debhelper 9 - normalised format - Removed unneeded Pre-Depends: dpkg (>= 1.15.6) - Removed versioned dependency of r-base-dev - Package is "Architecture: any" (rather than all) * debian/source/format: Add explicit source format specification * debian/copyright: - Update Source location - s/Removed/Files-Excluded/ to comply with the suggested format that might be processed by uscan as alternative method to filter-pristine-tar - Add years to Copyright field * debian/upstream: inst/CITATION asks for citing this more recent paper that is now on top of debian/upstream * debian/rules: remove executable flag from installed documentation -- Andreas Tille <email address hidden> Fri, 17 May 2013 14:36:51 +0200
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- gnu-r
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-bioc-edger_3.2.3~dfsg-1.dsc | 1.4 KiB | d1ca91a3c8a83c0e88e23c6fb6cb4788ee6608ad317345961db71741e851f8d7 |
r-bioc-edger_3.2.3~dfsg.orig.tar.gz | 1.2 MiB | 85d92d2c9d64db39d5ff5645aa4f6b3f7a38d73e0f59d774dac469f39eaf270d |
r-bioc-edger_3.2.3~dfsg-1.debian.tar.gz | 4.2 KiB | 1a1f129a94629c3196fae23604424f785aec32a73693445b578d3c39ea43e324 |
Available diffs
- diff from 2.6.1~dfsg-1 to 3.2.3~dfsg-1 (119.3 KiB)
No changes file available.
Binary packages built by this source
- r-bioc-edger: Empirical analysis of digital gene expression data in R
Bioconductor package for differential expression analysis of whole
transcriptome sequencing (RNA-seq) and digital gene expression
profiles with biological replication. It uses empirical Bayes
estimation and exact tests based on the negative binomial
distribution. It is also useful for differential signal analysis with
other types of genome-scale count data.