How to Install and Uninstall bitseq Package on Kali Linux
Last updated: November 25,2024
1. Install "bitseq" package
Please follow the step by step instructions below to install bitseq on Kali Linux
$
sudo apt update
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$
sudo apt install
bitseq
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2. Uninstall "bitseq" package
This tutorial shows how to uninstall bitseq on Kali Linux:
$
sudo apt remove
bitseq
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the bitseq package on Kali Linux
Package: bitseq
Version: 0.7.5+dfsg-6
Installed-Size: 1927
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.3), python3, python3-numpy
Suggests: samtools
Size: 345248
SHA256: 57e28a2d05930155fb59389831e6c93fdbaa0bb8bf6c419e4debed037cb162a9
SHA1: 90b0be22374b585e81ced263cb41d9885472fe0e
MD5sum: 5dcb21da62c5724e8e7856442d6dfe34
Description: Bayesian Inference of Transcripts from Sequencing Data
BitSeq is an application for inferring expression levels of individual
transcripts from sequencing (RNA-Seq) data and estimating differential
expression (DE) between conditions. An advantage of this approach is the
ability to account for both technical uncertainty and intrinsic biological
variance in order to avoid false DE calls. The technical contribution to the
uncertainty comes both from finite read-depth and the possibly ambiguous
mapping of reads to multiple transcripts.
Description-md5:
Homepage: https://github.com/BitSeq/BitSeq
Section: science
Priority: optional
Filename: pool/main/b/bitseq/bitseq_0.7.5+dfsg-6_amd64.deb
Version: 0.7.5+dfsg-6
Installed-Size: 1927
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5.2), zlib1g (>= 1:1.2.3.3), python3, python3-numpy
Suggests: samtools
Size: 345248
SHA256: 57e28a2d05930155fb59389831e6c93fdbaa0bb8bf6c419e4debed037cb162a9
SHA1: 90b0be22374b585e81ced263cb41d9885472fe0e
MD5sum: 5dcb21da62c5724e8e7856442d6dfe34
Description: Bayesian Inference of Transcripts from Sequencing Data
BitSeq is an application for inferring expression levels of individual
transcripts from sequencing (RNA-Seq) data and estimating differential
expression (DE) between conditions. An advantage of this approach is the
ability to account for both technical uncertainty and intrinsic biological
variance in order to avoid false DE calls. The technical contribution to the
uncertainty comes both from finite read-depth and the possibly ambiguous
mapping of reads to multiple transcripts.
Description-md5:
Homepage: https://github.com/BitSeq/BitSeq
Section: science
Priority: optional
Filename: pool/main/b/bitseq/bitseq_0.7.5+dfsg-6_amd64.deb