How to Install and Uninstall pirs-profiles Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 22,2024
1. Install "pirs-profiles" package
Please follow the instructions below to install pirs-profiles on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
Copied
$
sudo apt install
pirs-profiles
Copied
2. Uninstall "pirs-profiles" package
Please follow the guidance below to uninstall pirs-profiles on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
pirs-profiles
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the pirs-profiles package on Ubuntu 21.10 (Impish Indri)
Package: pirs-profiles
Architecture: all
Version: 2.0.2+dfsg-9
Priority: optional
Section: universe/science
Source: pirs
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2536
Filename: pool/universe/p/pirs/pirs-profiles_2.0.2+dfsg-9_all.deb
Size: 2563464
MD5sum: 9e9e5a2fa655ea8ad0de8b44fd3921f7
SHA1: 676968f4a9587e511d226eb7e4bd49621a50bd2f
SHA256: aa95b8f22d4780d4890820ab6b9c4bcd7a753bfb049f47e6569b0523b1f04106
SHA512: 9b05eb8ba519e8ccd9c54e2076c82b5ad2a6369ef805bfc93cb9e34a2b5260b5fac6c154f1e7d432b983f8cc12797822f91723b09f7da61fccad987fb7334290
Homepage: https://github.com/galaxy001/pirs
Description-en: profile basd Illumina pair-end Reads Simulator (profile data)
The program pIRS can be used for simulating Illumina PE reads, with a
series of characters generated by Illumina sequencing platform, such as
insert size distribution, sequencing error(substitution, insertion,
deletion), quality score and GC content-coverage bias.
.
The insert size follows a normal distribution, so users should set the
mean value and standard deviation. Usually the standard deviation is set
as 1/20 of the mean value. The normal distribution by Box-Muller method
is simulated.
.
The program simulates sequencing error, quality score and GC content-
coverage bias according to the empirical distribution profile. Some
default profiles counted from lots of real sequencing data are provided.
.
To simulate reads from diploid genome, users should simulate the diploid
genome sequence firstly by setting the ratio of heterozygosis SNP,
heterozygosis InDel and structure variation.
.
This package contains the profile data.
Description-md5: e62a40d96776cf47a96aa407fae2c1c9
Architecture: all
Version: 2.0.2+dfsg-9
Priority: optional
Section: universe/science
Source: pirs
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2536
Filename: pool/universe/p/pirs/pirs-profiles_2.0.2+dfsg-9_all.deb
Size: 2563464
MD5sum: 9e9e5a2fa655ea8ad0de8b44fd3921f7
SHA1: 676968f4a9587e511d226eb7e4bd49621a50bd2f
SHA256: aa95b8f22d4780d4890820ab6b9c4bcd7a753bfb049f47e6569b0523b1f04106
SHA512: 9b05eb8ba519e8ccd9c54e2076c82b5ad2a6369ef805bfc93cb9e34a2b5260b5fac6c154f1e7d432b983f8cc12797822f91723b09f7da61fccad987fb7334290
Homepage: https://github.com/galaxy001/pirs
Description-en: profile basd Illumina pair-end Reads Simulator (profile data)
The program pIRS can be used for simulating Illumina PE reads, with a
series of characters generated by Illumina sequencing platform, such as
insert size distribution, sequencing error(substitution, insertion,
deletion), quality score and GC content-coverage bias.
.
The insert size follows a normal distribution, so users should set the
mean value and standard deviation. Usually the standard deviation is set
as 1/20 of the mean value. The normal distribution by Box-Muller method
is simulated.
.
The program simulates sequencing error, quality score and GC content-
coverage bias according to the empirical distribution profile. Some
default profiles counted from lots of real sequencing data are provided.
.
To simulate reads from diploid genome, users should simulate the diploid
genome sequence firstly by setting the ratio of heterozygosis SNP,
heterozygosis InDel and structure variation.
.
This package contains the profile data.
Description-md5: e62a40d96776cf47a96aa407fae2c1c9