How to Install and Uninstall atac Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 26,2024
1. Install "atac" package
Please follow the guidelines below to install atac on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
atac
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2. Uninstall "atac" package
This is a short guide on how to uninstall atac on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
atac
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the atac package on Ubuntu 20.10 (Groovy Gorilla)
Package: atac
Architecture: amd64
Version: 0~20150903+r2013-8
Priority: optional
Section: universe/science
Source: kmer
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2801
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), python3 (<< 3.9), python3 (>= 3.8~), python3.8, python3:any, perl:any, libfile-which-perl, leaff, meryl, gnuplot
Recommends: kmer-examples
Filename: pool/universe/k/kmer/atac_0~20150903+r2013-8_amd64.deb
Size: 383292
MD5sum: 3beb154911978d674e4d584917987246
SHA1: 1c649bf49afd5fe08109a7322d25acbe14cf571e
SHA256: 7bcabb19bfad634a1b7711c33811e839d2f36af9beec446ef58a399fa6e0b990
SHA512: a6a49e008840f1078af25743ee9628b068a216dc630e2915c28a845f21e17ee4ec3873c576e5fb3c37f198204bbce8d4af884a1c8d28c7440ca3d528ebda5fa6
Homepage: http://kmer.sourceforge.net
Description-en: genome assembly-to-assembly comparison
atac computes a one-to-one pairwise alignment of large DNA sequences. It first
finds the unique k-mers in each sequence, chains them to larger blocks, and
fills in spaces between blocks. It was written primarily to transfer
annotations between different assemblies of the human genome.
.
The output is a set of ungapped 'matches', and a set of gapped 'runs' formed
from the matches. Each match or run associates one sequence with the other
sequence. The association is 'unique', in that there is no other (sizeable)
associations for either sequence. Thus, large repeats and duplications are not
present in the output - they appear as unmapped regions.
.
Though the output is always pairwise, atac can cache intermediate results to
speed a comparisons of multiple sequences.
.
This package is part of the Kmer suite.
Description-md5: 7c0df19216e3aa53e4831aab9fc46b7e
Architecture: amd64
Version: 0~20150903+r2013-8
Priority: optional
Section: universe/science
Source: kmer
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2801
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), python3 (<< 3.9), python3 (>= 3.8~), python3.8, python3:any, perl:any, libfile-which-perl, leaff, meryl, gnuplot
Recommends: kmer-examples
Filename: pool/universe/k/kmer/atac_0~20150903+r2013-8_amd64.deb
Size: 383292
MD5sum: 3beb154911978d674e4d584917987246
SHA1: 1c649bf49afd5fe08109a7322d25acbe14cf571e
SHA256: 7bcabb19bfad634a1b7711c33811e839d2f36af9beec446ef58a399fa6e0b990
SHA512: a6a49e008840f1078af25743ee9628b068a216dc630e2915c28a845f21e17ee4ec3873c576e5fb3c37f198204bbce8d4af884a1c8d28c7440ca3d528ebda5fa6
Homepage: http://kmer.sourceforge.net
Description-en: genome assembly-to-assembly comparison
atac computes a one-to-one pairwise alignment of large DNA sequences. It first
finds the unique k-mers in each sequence, chains them to larger blocks, and
fills in spaces between blocks. It was written primarily to transfer
annotations between different assemblies of the human genome.
.
The output is a set of ungapped 'matches', and a set of gapped 'runs' formed
from the matches. Each match or run associates one sequence with the other
sequence. The association is 'unique', in that there is no other (sizeable)
associations for either sequence. Thus, large repeats and duplications are not
present in the output - they appear as unmapped regions.
.
Though the output is always pairwise, atac can cache intermediate results to
speed a comparisons of multiple sequences.
.
This package is part of the Kmer suite.
Description-md5: 7c0df19216e3aa53e4831aab9fc46b7e