How to Install and Uninstall insilicoseq Package on Kali Linux
Last updated: November 23,2024
1. Install "insilicoseq" package
This guide let you learn how to install insilicoseq on Kali Linux
$
sudo apt update
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$
sudo apt install
insilicoseq
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2. Uninstall "insilicoseq" package
This guide let you learn how to uninstall insilicoseq on Kali Linux:
$
sudo apt remove
insilicoseq
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the insilicoseq package on Kali Linux
Package: insilicoseq
Version: 2.0.0-1
Installed-Size: 9076
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3-numpy, python3-pysam, python3-requests, python3-scipy, python3:any
Size: 4234228
SHA256: 26e8768251a040b876c1f8b3673989c8a6242a1b8bf0e51a69a81f1afd44f45e
SHA1: 8a8fdc6b3f9cae586a01f52c64652a93f2f9d997
MD5sum: 56e1e967cef64ca479cab93553170adf
Description: sequencing simulator producing realistic Illumina reads
Primarily intended for simulating metagenomic samples, it can also be
used to produce sequencing data from a single genome.
.
InSilicoSeq is written in Python, and use kernel density estimators to
model the read quality of real sequencing data.
.
InSilicoSeq support substitution, insertion and deletion errors. If
you don't have the use for insertion and deletion error a basic
error model is provided.
Description-md5:
Homepage: https://github.com/HadrienG/InSilicoSeq
Section: science
Priority: optional
Filename: pool/main/i/insilicoseq/insilicoseq_2.0.0-1_all.deb
Version: 2.0.0-1
Installed-Size: 9076
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3-numpy, python3-pysam, python3-requests, python3-scipy, python3:any
Size: 4234228
SHA256: 26e8768251a040b876c1f8b3673989c8a6242a1b8bf0e51a69a81f1afd44f45e
SHA1: 8a8fdc6b3f9cae586a01f52c64652a93f2f9d997
MD5sum: 56e1e967cef64ca479cab93553170adf
Description: sequencing simulator producing realistic Illumina reads
Primarily intended for simulating metagenomic samples, it can also be
used to produce sequencing data from a single genome.
.
InSilicoSeq is written in Python, and use kernel density estimators to
model the read quality of real sequencing data.
.
InSilicoSeq support substitution, insertion and deletion errors. If
you don't have the use for insertion and deletion error a basic
error model is provided.
Description-md5:
Homepage: https://github.com/HadrienG/InSilicoSeq
Section: science
Priority: optional
Filename: pool/main/i/insilicoseq/insilicoseq_2.0.0-1_all.deb