trinityrnaseq 2.6.6+dfsg-6build1 source package in Ubuntu
Changelog
trinityrnaseq (2.6.6+dfsg-6build1) focal; urgency=medium * No-change upload for htslib soname change. -- Matthias Klose <email address hidden> Fri, 31 Jan 2020 23:07:43 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Debian Med
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| trinityrnaseq_2.6.6+dfsg.orig.tar.xz | 222.3 MiB | 2e551b2acdc530d542b0b717b6bb6e124ac49416e68da65e213fb104486c4a34 |
| trinityrnaseq_2.6.6+dfsg-6build1.debian.tar.xz | 24.2 KiB | a798eb5156b9fa602d037f2376bc169bb37769da070e0839863e409b259eafe8 |
| trinityrnaseq_2.6.6+dfsg-6build1.dsc | 2.3 KiB | 93dd8824b5e9c9001f52e810eca4abf9f5ab1acfc812bd5616bf8f58a0aa193f |
Available diffs
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.
