How to Install and Uninstall crac Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: December 24,2024
1. Install "crac" package
In this section, we are going to explain the necessary steps to install crac on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
crac
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2. Uninstall "crac" package
Here is a brief guide to show you how to uninstall crac on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
crac
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the crac package on Ubuntu 20.10 (Groovy Gorilla)
Package: crac
Architecture: amd64
Version: 2.5.2+dfsg-2build2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3707
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgkarrays1, libgzstream0 (>= 1.5+dfsg), libhts3 (>= 1.10), libjellyfish-2.0-2 (>= 2.3.0), libstdc++6 (>= 9), zlib1g (>= 1:1.1.4)
Filename: pool/universe/c/crac/crac_2.5.2+dfsg-2build2_amd64.deb
Size: 932648
MD5sum: fb860ae1229a4fb834f3d60f1d3e5374
SHA1: 47cea2719f6056f113b3857d484d2ccc9f3a6645
SHA256: 70a7c69d74e2b4e1fdaf71afe317b94c3bbd342511c1245470bc15f6ee3ce4ec
SHA512: 905cddb41cfc173d38f84444abbe5621b67c8dfd9e65426678bc43591979b1be2b41261a5b86d131004912f14c0aa2b3c3bee7aa6c68acee6f0f9cb0305c5077
Homepage: http://crac.gforge.inria.fr/
Description-en: integrated RNA-Seq read analysis
CRAC is a tool to analyze High Throughput Sequencing (HTS) data in
comparison to a reference genome. It is intended for transcriptomic
and genomic sequencing reads. More precisely, with transcriptomic
reads as input, it predicts point mutations, indels, splice junction,
and chimeric RNAs (ie, non colinear splice junctions). CRAC can also
output positions and nature of sequence error that it detects in the
reads. CRAC uses a genome index. This index must be computed before
running the read analysis. For this sake, use the command "crac-index"
on your genome files. You can then process the reads using the command
crac. See the man page of CRAC (help file) by typing "man crac". CRAC
requires large amount of main memory on your computer. For processing
against the Human genome, say 50 million reads of 100 nucleotide each,
CRAC requires about 40 gigabytes of main memory. Check whether the
system of your computing server is equipped with sufficient amount of
memory before launching an analysis.
Description-md5: ce43e78949db57abc79ce3a5a699ad82
Architecture: amd64
Version: 2.5.2+dfsg-2build2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3707
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgkarrays1, libgzstream0 (>= 1.5+dfsg), libhts3 (>= 1.10), libjellyfish-2.0-2 (>= 2.3.0), libstdc++6 (>= 9), zlib1g (>= 1:1.1.4)
Filename: pool/universe/c/crac/crac_2.5.2+dfsg-2build2_amd64.deb
Size: 932648
MD5sum: fb860ae1229a4fb834f3d60f1d3e5374
SHA1: 47cea2719f6056f113b3857d484d2ccc9f3a6645
SHA256: 70a7c69d74e2b4e1fdaf71afe317b94c3bbd342511c1245470bc15f6ee3ce4ec
SHA512: 905cddb41cfc173d38f84444abbe5621b67c8dfd9e65426678bc43591979b1be2b41261a5b86d131004912f14c0aa2b3c3bee7aa6c68acee6f0f9cb0305c5077
Homepage: http://crac.gforge.inria.fr/
Description-en: integrated RNA-Seq read analysis
CRAC is a tool to analyze High Throughput Sequencing (HTS) data in
comparison to a reference genome. It is intended for transcriptomic
and genomic sequencing reads. More precisely, with transcriptomic
reads as input, it predicts point mutations, indels, splice junction,
and chimeric RNAs (ie, non colinear splice junctions). CRAC can also
output positions and nature of sequence error that it detects in the
reads. CRAC uses a genome index. This index must be computed before
running the read analysis. For this sake, use the command "crac-index"
on your genome files. You can then process the reads using the command
crac. See the man page of CRAC (help file) by typing "man crac". CRAC
requires large amount of main memory on your computer. For processing
against the Human genome, say 50 million reads of 100 nucleotide each,
CRAC requires about 40 gigabytes of main memory. Check whether the
system of your computing server is equipped with sufficient amount of
memory before launching an analysis.
Description-md5: ce43e78949db57abc79ce3a5a699ad82