Ubuntu
r-bioc-biobase package

r-bioc-biobase 2.30.0-1 source package in Ubuntu

Changelog

r-bioc-biobase (2.30.0-1) unstable; urgency=medium

  * New upstream version
  * Fixed watch file
  * Drop outdated paragraph from description

 -- Andreas Tille <email address hidden>  Thu, 29 Oct 2015 17:07:09 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
gnu-r
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe gnu-r

Downloads

File Size SHA-256 Checksum
r-bioc-biobase_2.30.0-1.dsc 2.0 KiB 2475b978961eeb5030b6decb08bfe202e0208a7cc5863797d3ddf74c5d6ffa16
r-bioc-biobase_2.30.0.orig.tar.gz 1.6 MiB f16b6316fdbd7ab0077644d41a3286a688b0b75cc34686383e10f139f0955ae1
r-bioc-biobase_2.30.0-1.debian.tar.xz 7.2 KiB 39e74f6458b3f896fa30f9c60e9220c76e3072a9f3eae637a2b01dd535b3b94d

Available diffs

No changes file available.

Binary packages built by this source

r-bioc-biobase: base functions for Bioconductor

 Biobase is part of the Bioconductor project, and is used by many other
 packages. Biobase contains standardized data structures to represent genomic
 data, and functions that are needed by many other packages or which replace R
 functions.
 .
 Bioconductor is a project to develop innovative software tools for use in
 computational biology. It is based on the R language. You should already be
 quite familiar with R before using Bioconductor. Bioconductor packages provide
 flexible interactive tools for carrying out a number of different computational
 tasks.

r-bioc-biobase-dbgsym: debug symbols for package r-bioc-biobase

 Biobase is part of the Bioconductor project, and is used by many other
 packages. Biobase contains standardized data structures to represent genomic
 data, and functions that are needed by many other packages or which replace R
 functions.
 .
 Bioconductor is a project to develop innovative software tools for use in
 computational biology. It is based on the R language. You should already be
 quite familiar with R before using Bioconductor. Bioconductor packages provide
 flexible interactive tools for carrying out a number of different computational
 tasks.