igv 2.4.6+dfsg-1 source package in Ubuntu


igv (2.4.6+dfsg-1) unstable; urgency=medium

  [ Steffen Moeller ]
  * debian/upstream/metadata:
    - Added references to registries
    - yamllint cleanliness

  [ Andreas Tille ]
  * New upstream version
  * build.xml: `include name="batik.jar"` (Thanks for the hint to Markus
    Koschany <email address hidden>)
    Closes: #877941
  * Standards-Version: 4.1.3
  * New Build-Depends: openjfx
  * Drop libconcurrent-java from Build-Depends
  * debhelper 11

 -- Andreas Tille <email address hidden>  Mon, 22 Jan 2018 09:52:36 +0100

Upload details

Uploaded by:
Debian Med on 2018-01-22
Uploaded to:
Original maintainer:
Debian Med
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Cosmic release on 2018-05-01 multiverse science
Bionic release on 2018-01-22 multiverse science


Bionic: [FULLYBUILT] amd64


File Size SHA-256 Checksum
igv_2.4.6+dfsg-1.dsc 2.5 KiB 5e9ed51a515b3b53da5872096f9c9197526185e796566dcf05dd5f58919cf5bd
igv_2.4.6+dfsg.orig.tar.xz 118.2 MiB cffe95789e6bab3b4e7c92de53f9ca14f18eb2e70a8c702e2ee5f357d59d4cf5
igv_2.4.6+dfsg-1.debian.tar.xz 8.3 KiB df17975f34254e8e88fbbd81529e4d53c24f274e0ad436f2b89bfcaa86bd1f44

Available diffs

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.