rockhopper 2.0.3+dfsg2-4 source package in Ubuntu
Changelog
rockhopper (2.0.3+dfsg2-4) unstable; urgency=medium * Fixing the clean target (Closes: #1048408) * Update standards version to 4.6.2, no changes needed. -- Pierre Gruet <email address hidden> Sun, 03 Dec 2023 08:06:16 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
rockhopper_2.0.3+dfsg2-4.dsc | 2.4 KiB | 4177485e5459e5eba8894356fa3ac43dcd453df4ab47f3f702814d4d17025410 |
rockhopper_2.0.3+dfsg2.orig-debian-tests-data.tar.xz | 30.8 MiB | 479e267acfd79924201dc34ddad3b65ac57f716abf70306e1ea193b037d22d57 |
rockhopper_2.0.3+dfsg2.orig.tar.xz | 439.2 KiB | 6fd62d6c7ef7b1455a05093bf9701b2e4510e3ca4f986b2265834f29ea49fe3e |
rockhopper_2.0.3+dfsg2-4.debian.tar.xz | 10.5 KiB | 7ed4d1646f9f4027ea296b5bfe3c9fe28c204ef5daf67bc09589ff131a078a98 |
Available diffs
- diff from 2.0.3+dfsg2-3 to 2.0.3+dfsg2-4 (570 bytes)
No changes file available.
Binary packages built by this source
- rockhopper: system for analyzing bacterial RNA-seq data
Rockhopper is a comprehensive and user-friendly system for
computational analysis of bacterial RNA-seq data. As input, Rockhopper
takes RNA sequencing reads output by high-throughput sequencing
technology (FASTQ, QSEQ, FASTA, SAM, or BAM files). Rockhopper supports
the following tasks:
.
* Reference based transcript assembly (when one or more reference
genomes are available)
- Aligning reads to genomes
- Assembling transcripts
- Identifying transcript boundaries and novel transcripts such as
small RNAs
* De novo transcript assembly (when reference genomes are unavailable)
* Normalizing data from different experiments
* Quantifying transcript abundance
* Testing for differential gene expression
* Characterizing operon structures
* Visualizing results in a genome browser