trinityrnaseq 2.6.6+dfsg-6 source package in Ubuntu

Changelog

trinityrnaseq (2.6.6+dfsg-6) unstable; urgency=medium

  * -examples: Don't hardcode number of --CPU (especially above 2). Fixes the
    autopkgtests when the number of CPUs/cores is less than 4 and blastn's
    intransigency to accept a larger value to -num_threads.

 -- Michael R. Crusoe <email address hidden>  Fri, 04 Jan 2019 03:38:40 -0800

Upload details

Uploaded by:
Debian Med on 2019-01-04
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
Eoan release on 2019-04-18 universe misc
Disco release on 2019-01-05 universe misc

Downloads

File Size SHA-256 Checksum
trinityrnaseq_2.6.6+dfsg-6.dsc 2.2 KiB 3fbd98e7663e50fdee0037cfde677ecea16cc549d911734f22ae9890a8dd9863
trinityrnaseq_2.6.6+dfsg.orig.tar.xz 222.3 MiB 2e551b2acdc530d542b0b717b6bb6e124ac49416e68da65e213fb104486c4a34
trinityrnaseq_2.6.6+dfsg-6.debian.tar.xz 24.1 KiB 2317b849a09fcd38bbe00bc4b225fb53c3cdfbaa45bcc09ea40388eaae0c7a9a

Available diffs

No changes file available.

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.