How to Install and Uninstall salmon Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 26,2024
1. Install "salmon" package
Please follow the step by step instructions below to install salmon on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
salmon
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2. Uninstall "salmon" package
Learn how to uninstall salmon on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
salmon
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the salmon package on Ubuntu 21.10 (Impish Indri)
Package: salmon
Architecture: amd64
Version: 1.4.0+ds1-1build1
Built-Using: sphinx (= 3.3.1-1)
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: 8520
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.29), libgcc-s1 (>= 3.4), libjemalloc2 (>= 5.0.0), libstaden-read14 (>= 1.14.12), libstdc++6 (>= 9), libtbb2 (>= 2017~U7), zlib1g (>= 1:1.1.4), libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg)
Filename: pool/universe/s/salmon/salmon_1.4.0+ds1-1build1_amd64.deb
Size: 2149972
MD5sum: 390db1600d8de342f2277ae8f802dab9
SHA1: 70f41845c98cb968029045d2ba1cf60a809562dc
SHA256: f267e1984fd42e81b20714972f1718b282693159e9d88f6336412875ddaf33ad
SHA512: 6858aa50a027f388490c1e3055d2a3f55025edb33f1af32396a96147e42b10e3d2934eeea9c4c5eca597b28da3f987212448b17758cb0b5150b8483c9e95648b
Homepage: https://github.com/COMBINE-lab/salmon
Description-en: wicked-fast transcript quantification from RNA-seq data
Salmon is a wicked-fast program to produce a highly-accurate, transcript-level
quantification estimates from RNA-seq data. Salmon achieves is accuracy and
speed via a number of different innovations, including the use of lightweight
alignments (accurate but fast-to-compute proxies for traditional read
alignments) and massively-parallel stochastic collapsed variational inference.
The result is a versatile tool that fits nicely into many different pipelines.
For example, you can choose to make use of the lightweight alignments by
providing Salmon with raw sequencing reads, or, if it is more convenient, you
can provide Salmon with regular alignments (e.g. computed with your favorite
aligner), and it will use the same wicked-fast, state-of-the-art inference
algorithm to estimate transcript-level abundances for your experiment.
Description-md5: 2d4c57b85c974a51ce828b2205df95e8
Architecture: amd64
Version: 1.4.0+ds1-1build1
Built-Using: sphinx (= 3.3.1-1)
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: 8520
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.29), libgcc-s1 (>= 3.4), libjemalloc2 (>= 5.0.0), libstaden-read14 (>= 1.14.12), libstdc++6 (>= 9), libtbb2 (>= 2017~U7), zlib1g (>= 1:1.1.4), libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.0+dfsg)
Filename: pool/universe/s/salmon/salmon_1.4.0+ds1-1build1_amd64.deb
Size: 2149972
MD5sum: 390db1600d8de342f2277ae8f802dab9
SHA1: 70f41845c98cb968029045d2ba1cf60a809562dc
SHA256: f267e1984fd42e81b20714972f1718b282693159e9d88f6336412875ddaf33ad
SHA512: 6858aa50a027f388490c1e3055d2a3f55025edb33f1af32396a96147e42b10e3d2934eeea9c4c5eca597b28da3f987212448b17758cb0b5150b8483c9e95648b
Homepage: https://github.com/COMBINE-lab/salmon
Description-en: wicked-fast transcript quantification from RNA-seq data
Salmon is a wicked-fast program to produce a highly-accurate, transcript-level
quantification estimates from RNA-seq data. Salmon achieves is accuracy and
speed via a number of different innovations, including the use of lightweight
alignments (accurate but fast-to-compute proxies for traditional read
alignments) and massively-parallel stochastic collapsed variational inference.
The result is a versatile tool that fits nicely into many different pipelines.
For example, you can choose to make use of the lightweight alignments by
providing Salmon with raw sequencing reads, or, if it is more convenient, you
can provide Salmon with regular alignments (e.g. computed with your favorite
aligner), and it will use the same wicked-fast, state-of-the-art inference
algorithm to estimate transcript-level abundances for your experiment.
Description-md5: 2d4c57b85c974a51ce828b2205df95e8