How to Install and Uninstall python3-shasta-doc Package on Ubuntu 21.10 (Impish Indri)
Last updated: December 23,2024
1. Install "python3-shasta-doc" package
Please follow the step by step instructions below to install python3-shasta-doc on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-shasta-doc
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2. Uninstall "python3-shasta-doc" package
Please follow the instructions below to uninstall python3-shasta-doc on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-shasta-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-shasta-doc package on Ubuntu 21.10 (Impish Indri)
Package: python3-shasta-doc
Architecture: all
Version: 0.7.0-3
Built-Using: sphinx (= 3.4.3-1)
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: shasta
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 167
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Recommends: shasta, python3-shasta
Filename: pool/universe/s/shasta/python3-shasta-doc_0.7.0-3_all.deb
Size: 19080
MD5sum: f8421eb192cb86f38ddd3e57833f277a
SHA1: d7e6a25ff06be32182e750b06103df523c669fc3
SHA256: 59bfef297312367bafd96025bbd8352e9fa44bd098b89d3ee2a50dc3fa3928cf
SHA512: 5a0146a89f9c41b76cbeb6dc0aecccd2adda03bb1cf446a9e65a43e79864f5adf009dd0a6980a0e125fe5d058a5c4aa4abbe19c8ccc2a3672277b63887432e60
Homepage: https://github.com/chanzuckerberg/shasta
Description-en: nanopore whole genome assembly (documentation)
De novo assembly from Oxford Nanopore reads. The goal of the Shasta long
read assembler is to rapidly produce accurate assembled sequence using
as input DNA reads generated by Oxford Nanopore flow cells.
.
Computational methods used by the Shasta assembler include:
.
* Using a run-length representation of the read sequence. This makes
the assembly process more resilient to errors in homopolymer
repeat counts, which are the most common type of errors in Oxford
Nanopore reads.
.
* Using in some phases of the computation a representation of the read
sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
.
Shasta assembly quality is comparable or better than assembly quality
achieved by other long read assemblers.
.
This package contains the documentation for the shasta and python3-shasta
packages.
Description-md5: 10ae554fed8f7cd0eb220c1a4845e979
Architecture: all
Version: 0.7.0-3
Built-Using: sphinx (= 3.4.3-1)
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: shasta
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 167
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Recommends: shasta, python3-shasta
Filename: pool/universe/s/shasta/python3-shasta-doc_0.7.0-3_all.deb
Size: 19080
MD5sum: f8421eb192cb86f38ddd3e57833f277a
SHA1: d7e6a25ff06be32182e750b06103df523c669fc3
SHA256: 59bfef297312367bafd96025bbd8352e9fa44bd098b89d3ee2a50dc3fa3928cf
SHA512: 5a0146a89f9c41b76cbeb6dc0aecccd2adda03bb1cf446a9e65a43e79864f5adf009dd0a6980a0e125fe5d058a5c4aa4abbe19c8ccc2a3672277b63887432e60
Homepage: https://github.com/chanzuckerberg/shasta
Description-en: nanopore whole genome assembly (documentation)
De novo assembly from Oxford Nanopore reads. The goal of the Shasta long
read assembler is to rapidly produce accurate assembled sequence using
as input DNA reads generated by Oxford Nanopore flow cells.
.
Computational methods used by the Shasta assembler include:
.
* Using a run-length representation of the read sequence. This makes
the assembly process more resilient to errors in homopolymer
repeat counts, which are the most common type of errors in Oxford
Nanopore reads.
.
* Using in some phases of the computation a representation of the read
sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
.
Shasta assembly quality is comparable or better than assembly quality
achieved by other long read assemblers.
.
This package contains the documentation for the shasta and python3-shasta
packages.
Description-md5: 10ae554fed8f7cd0eb220c1a4845e979