How to Install and Uninstall artfastqgenerator Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 25,2024
1. Install "artfastqgenerator" package
Please follow the instructions below to install artfastqgenerator on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
artfastqgenerator
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2. Uninstall "artfastqgenerator" package
This tutorial shows how to uninstall artfastqgenerator on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
artfastqgenerator
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the artfastqgenerator package on Ubuntu 20.10 (Groovy Gorilla)
Package: artfastqgenerator
Architecture: all
Version: 0.0.20150519-3
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: 56
Depends: default-jre
Filename: pool/universe/a/artfastqgenerator/artfastqgenerator_0.0.20150519-3_all.deb
Size: 40412
MD5sum: 1b9c59a3686edf0cd3df6fe2c27e3749
SHA1: 7cd7584bce2b6301d9ce2238f372d61ad429e86b
SHA256: e185d65610fdf54b39c7ae55ca4b0bbf86510d141cc7c822731e376d8e793654
SHA512: 4b7f0c335d213a0ae53f0c5590b73460d803f3724f61f8850115b830c31bd40d563c914d64996f668dd24f47f28d4c227c5441256d08b7e5e2c4257d5784d892
Homepage: https://sourceforge.net/projects/artfastqgen/
Description-en: outputs artificial FASTQ files derived from a reference genome
ArtificialFastqGenerator takes the reference genome (in FASTA format) as
input and outputs artificial FASTQ files in the Sanger format. It can
accept Phred base quality scores from existing FASTQ files, and use them
to simulate sequencing errors. Since the artificial FASTQs are derived
from the reference genome, the reference genome provides a gold-standard
for calling variants (Single Nucleotide Polymorphisms (SNPs) and
insertions and deletions (indels)). This enables evaluation of a Next
Generation Sequencing (NGS) analysis pipeline which aligns reads to the
reference genome and then calls the variants.
Description-md5: 46c5205dd3fb030f1a4090e0bf9cf921
Architecture: all
Version: 0.0.20150519-3
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: 56
Depends: default-jre
Filename: pool/universe/a/artfastqgenerator/artfastqgenerator_0.0.20150519-3_all.deb
Size: 40412
MD5sum: 1b9c59a3686edf0cd3df6fe2c27e3749
SHA1: 7cd7584bce2b6301d9ce2238f372d61ad429e86b
SHA256: e185d65610fdf54b39c7ae55ca4b0bbf86510d141cc7c822731e376d8e793654
SHA512: 4b7f0c335d213a0ae53f0c5590b73460d803f3724f61f8850115b830c31bd40d563c914d64996f668dd24f47f28d4c227c5441256d08b7e5e2c4257d5784d892
Homepage: https://sourceforge.net/projects/artfastqgen/
Description-en: outputs artificial FASTQ files derived from a reference genome
ArtificialFastqGenerator takes the reference genome (in FASTA format) as
input and outputs artificial FASTQ files in the Sanger format. It can
accept Phred base quality scores from existing FASTQ files, and use them
to simulate sequencing errors. Since the artificial FASTQs are derived
from the reference genome, the reference genome provides a gold-standard
for calling variants (Single Nucleotide Polymorphisms (SNPs) and
insertions and deletions (indels)). This enables evaluation of a Next
Generation Sequencing (NGS) analysis pipeline which aligns reads to the
reference genome and then calls the variants.
Description-md5: 46c5205dd3fb030f1a4090e0bf9cf921