How to Install and Uninstall igv Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "igv" package

Learn how to install igv on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install igv

2. Uninstall "igv" package

Learn how to uninstall igv on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove igv $ sudo apt autoclean && sudo apt autoremove

3. Information about the igv package on Ubuntu 20.10 (Groovy Gorilla)

Package: igv
Architecture: all
Version: 2.4.17+dfsg-1
Priority: optional
Section: multiverse/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3630
Depends: junit4, libbatik-java, libbcprov-java, libcofoja-java, libcommons-io-java, libcommons-logging-java, libcommons-math-java, libcommons-net-java, libgoogle-gson-java, libguava-java, libhtsjdk-java, libhttpclient-java, libhttpcore-java, libjama-java, libjargs-java, libjaxb-api-java, libjaxp1.3-java, libjcommon-java, libjfreechart-java, libjgrapht0.8-java, libjhdf5-java, libjide-oss-java, liblog4j1.2-java, liblog4j2-java, libswing-layout-java, libxml-commons-external-java, default-jre, libpicard-java
Recommends: libmariadb-java
Filename: pool/multiverse/i/igv/igv_2.4.17+dfsg-1_all.deb
Size: 3371580
MD5sum: c3c137f9c42a229a04bbb7ff24ee26c5
SHA1: 7d2a4b61d8511e29e5c60bca3353b22bea90e6db
SHA256: 83125b6396efbe93ed27c53ecad247ce75f6cb47286d558ed707591c2e61c98f
SHA512: 7fa389f21e057fc6a8d2d97214b5bb00e32af1ff075df3406e88de48ab6da63d743993b6bafebc6fcb3969d4f3a7effafc5c3925110bacfcd4754859e40fe292
Homepage: http://www.broadinstitute.org/igv/
Description-en: 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.
Description-md5: c007bd50ee1f6b5e2ff534544a24c883