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trinityrnaseq package

trinityrnaseq 2.15.1+dfsg-5build1 source package in Ubuntu

Changelog

trinityrnaseq (2.15.1+dfsg-5build1) noble; urgency=medium

  * No-change rebuild against libhts3t64.

 -- Colin Watson <email address hidden>  Sun, 14 Apr 2024 19:57:03 +0100

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Uploaded by:
Colin Watson
Uploaded to:
Noble
Original maintainer:
Debian Med
Architectures:
amd64 arm64 ppc64el riscv64 loong64
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Downloads

File Size SHA-256 Checksum
trinityrnaseq_2.15.1+dfsg.orig.tar.xz 293.1 MiB b4892295ab2e92cf77b3f1022dac79945238436a81210538446e88b93e71c362
trinityrnaseq_2.15.1+dfsg-5build1.debian.tar.xz 38.5 KiB 137272e804400a5b531f5e4630bc44da90b2eb4841059bbfc1946aa826954087
trinityrnaseq_2.15.1+dfsg-5build1.dsc 2.6 KiB df5661f71c178bd07790711cfe53955c00da694a0d04ea16f780153d2d9bbed6

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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.