igv 2.17.3+dfsg-1 source package in Ubuntu
Changelog
igv (2.17.3+dfsg-1) unstable; urgency=medium
[ Vladimir Petko ]
* d/p/skip_tests_network.patch: add tests requiring internet
(Closes: #1065646).
[ Andreas Tille ]
* New upstream version
* d/watch: Fix download file name
-- Andreas Tille <email address hidden> Fri, 08 Mar 2024 18:55:28 +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 | science | |
| Noble | release | universe | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| igv_2.17.3+dfsg-1.dsc | 2.5 KiB | 235d9e22def047e93fadf2ee2abc8b01dc80170620f14f4053aa7f4b61175377 |
| igv_2.17.3+dfsg.orig.tar.xz | 46.8 MiB | f2e931c2660b068a60a23c13f7ca52bc2b68781d28a075785898abae5eb0898d |
| igv_2.17.3+dfsg-1.debian.tar.xz | 32.0 KiB | bdd0aab22ccbeb13ae08ef4e565508b5137364b5c4fa82c27c4701bcbed4ceda |
Available diffs
- diff from 2.16.2+dfsg-2 to 2.17.3+dfsg-1 (846.7 KiB)
- diff from 2.17.1+dfsg-1 to 2.17.3+dfsg-1 (150.0 KiB)
No changes file available.
Binary packages built by this source
- igv: Integrative Genomics Viewer
The Integrative Genomics Viewer (IGV) is a high-performance viewer that
efficiently handles large heterogeneous data sets, while providing a
smooth and intuitive user experience at all levels of genome resolution.
A key characteristic of IGV is its focus on the integrative nature of
genomic studies, with support for both array-based and next-generation
sequencing data, and the integration of clinical and phenotypic data.
Although IGV is often used to view genomic data from public sources,
its primary emphasis is to support researchers who wish to visualize and
explore their own data sets or those from colleagues. To that end, IGV
supports flexible loading of local and remote data sets, and is
optimized to provide high-performance data visualization and exploration
on standard desktop systems.
