trinityrnaseq 2.2.0+dfsg-4 source package in Ubuntu

Changelog

trinityrnaseq (2.2.0+dfsg-4) unstable; urgency=medium

  [ Steffen Moeller ]
  * debian/upstream/metadata
    - Completed references to registries
    - yamllint clean
  * debian/copyright
    - Corrected upstream-name to 'Trinity'

  [ Michael R. Crusoe ]
  * Removed unneeded dependency on r-bioc-edger

 -- Michael R. Crusoe <email address hidden>  Sat, 18 Nov 2017 05:00:08 -0800

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
trinityrnaseq_2.2.0+dfsg-4.dsc 2.2 KiB 9fd9c40730727a467adc93453dbf2bf16b73c35ee0cd9d144df5f27c8cb70653
trinityrnaseq_2.2.0+dfsg.orig.tar.xz 148.0 MiB 6e1702ac9868506b1dafa72be5df87a562029e26ba04c3665e9126b95fcc2332
trinityrnaseq_2.2.0+dfsg-4.debian.tar.xz 16.9 KiB 80f696cccdfc6d27e6d5244cf76328f0a7c821544db6e5b18004a593b91b7803

Available diffs

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Binary packages built by this source

trinityrnaseq: RNA-Seq De novo Assembly

 Trinity represents a novel method for the efficient and robust de novo
 reconstruction of transcriptomes from RNA-seq data. Trinity combines three
 independent software modules: Inchworm, Chrysalis, and Butterfly, applied
 sequentially to process large volumes of RNA-seq reads. Trinity partitions
 the sequence data into many individual de Bruijn graphs, each representing the
 transcriptional complexity at a given gene or locus, and then processes
 each graph independently to extract full-length splicing isoforms and to tease
 apart transcripts derived from paralogous genes.

trinityrnaseq-dbgsym: debug symbols for trinityrnaseq
trinityrnaseq-examples: RNA-Seq De novo Assembly common example and testing files

 Trinity represents a novel method for the efficient and robust de novo
 reconstruction of transcriptomes from RNA-seq data. Trinity combines three
 independent software modules: Inchworm, Chrysalis, and Butterfly, applied
 sequentially to process large volumes of RNA-seq reads. Trinity partitions
 the sequence data into many individual de Bruijn graphs, each representing the
 transcriptional complexity at a given gene or locus, and then processes
 each graph independently to extract full-length splicing isoforms and to tease
 apart transcripts derived from paralogous genes.
 .
 This package contains testing & example files.