How to Install and Uninstall yanagiba Package on Kali Linux
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "yanagiba" package
This guide let you learn how to install yanagiba on Kali Linux
$
sudo apt update
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$
sudo apt install
yanagiba
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2. Uninstall "yanagiba" package
Learn how to uninstall yanagiba on Kali Linux:
$
sudo apt remove
yanagiba
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the yanagiba package on Kali Linux
Package: yanagiba
Version: 1.0.0-5
Installed-Size: 57
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3-nanomath, python3-pandas, python3:any
Size: 25592
SHA256: 21bcdc37e48753b58d93036efa4989dacd1baa6a2e59f86fac44378dc670506a
SHA1: 0b034be285ed052353b3f3eab70bad69be68f3c0
MD5sum: 2c43135f5f6a333048dc36a7789f3170
Description: filter low quality Oxford Nanopore reads basecalled with Albacore
Yanagiba is used to filter short or low quality Oxford Nanopore reads
which have been basecalled with Albacore. It takes fastq.gz and an
Albacore summary file as input. If no Albacore summary file is provided
attempt to calculate mean qscore from directly from fastq file using
NanoMath. Note: Calculated quality scores appear to be lower for reads
called with Metrichor, you may need to lower your minqual setting in
this case.
Description-md5:
Homepage: https://github.com/Adamtaranto/Yanagiba
Section: science
Priority: optional
Filename: pool/main/y/yanagiba/yanagiba_1.0.0-5_all.deb
Version: 1.0.0-5
Installed-Size: 57
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3-nanomath, python3-pandas, python3:any
Size: 25592
SHA256: 21bcdc37e48753b58d93036efa4989dacd1baa6a2e59f86fac44378dc670506a
SHA1: 0b034be285ed052353b3f3eab70bad69be68f3c0
MD5sum: 2c43135f5f6a333048dc36a7789f3170
Description: filter low quality Oxford Nanopore reads basecalled with Albacore
Yanagiba is used to filter short or low quality Oxford Nanopore reads
which have been basecalled with Albacore. It takes fastq.gz and an
Albacore summary file as input. If no Albacore summary file is provided
attempt to calculate mean qscore from directly from fastq file using
NanoMath. Note: Calculated quality scores appear to be lower for reads
called with Metrichor, you may need to lower your minqual setting in
this case.
Description-md5:
Homepage: https://github.com/Adamtaranto/Yanagiba
Section: science
Priority: optional
Filename: pool/main/y/yanagiba/yanagiba_1.0.0-5_all.deb