How to Install and Uninstall python-pyfaidx-examples Package on Ubuntu 18.04 LTS (Bionic Beaver)
Last updated: November 22,2024
1. Install "python-pyfaidx-examples" package
Please follow the guidelines below to install python-pyfaidx-examples on Ubuntu 18.04 LTS (Bionic Beaver)
$
sudo apt update
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$
sudo apt install
python-pyfaidx-examples
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2. Uninstall "python-pyfaidx-examples" package
Please follow the step by step instructions below to uninstall python-pyfaidx-examples on Ubuntu 18.04 LTS (Bionic Beaver):
$
sudo apt remove
python-pyfaidx-examples
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-pyfaidx-examples package on Ubuntu 18.04 LTS (Bionic Beaver)
Package: python-pyfaidx-examples
Architecture: all
Version: 0.4.8.1-1
Priority: optional
Section: universe/python
Source: python-pyfaidx
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 38
Suggests: python3-pyfaidx | python-pyfaidx
Filename: pool/universe/p/python-pyfaidx/python-pyfaidx-examples_0.4.8.1-1_all.deb
Size: 22522
MD5sum: 40edbb4a73eee5b3fc8ad2951c2abd0b
SHA1: a00948cb3a351f569f3a25a8de5ea744def9fa45
SHA256: 2f6e50b2a793dd4101dd384680d1d1e7afdfc4c24453faad986164c0f7214450
Homepage: https://github.com/mdshw5/pyfaidx
Description: example data for efficient random access to fasta subsequences for Python
Description-md5: 31f9e3789b2b4494beee58b7d1274d0a
Architecture: all
Version: 0.4.8.1-1
Priority: optional
Section: universe/python
Source: python-pyfaidx
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 38
Suggests: python3-pyfaidx | python-pyfaidx
Filename: pool/universe/p/python-pyfaidx/python-pyfaidx-examples_0.4.8.1-1_all.deb
Size: 22522
MD5sum: 40edbb4a73eee5b3fc8ad2951c2abd0b
SHA1: a00948cb3a351f569f3a25a8de5ea744def9fa45
SHA256: 2f6e50b2a793dd4101dd384680d1d1e7afdfc4c24453faad986164c0f7214450
Homepage: https://github.com/mdshw5/pyfaidx
Description: example data for efficient random access to fasta subsequences for Python
Description-md5: 31f9e3789b2b4494beee58b7d1274d0a