How to Install and Uninstall python-cutadapt Package on Ubuntu 18.04 LTS (Bionic Beaver)
Last updated: November 07,2024
1. Install "python-cutadapt" package
This is a short guide on how to install python-cutadapt on Ubuntu 18.04 LTS (Bionic Beaver)
$
sudo apt update
Copied
$
sudo apt install
python-cutadapt
Copied
2. Uninstall "python-cutadapt" package
Here is a brief guide to show you how to uninstall python-cutadapt on Ubuntu 18.04 LTS (Bionic Beaver):
$
sudo apt remove
python-cutadapt
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python-cutadapt package on Ubuntu 18.04 LTS (Bionic Beaver)
Package: python-cutadapt
Architecture: amd64
Version: 1.15-1
Priority: optional
Section: universe/python
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 471
Depends: python (<< 2.8), python (>= 2.7~), python-xopen, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4)
Filename: pool/universe/p/python-cutadapt/python-cutadapt_1.15-1_amd64.deb
Size: 127572
MD5sum: 622abab47dbac770027e23207246c6bb
SHA1: ebc801318b345da97f1ef0fd5b40b18eae268aaa
SHA256: 6e0657006279b1076fcbb12e7d9f7fccae093afe027427894d9ced8d02bdb9b0
Homepage: http://pypi.python.org/pypi/cutadapt
Description: Clean biological sequences from high-throughput sequencing reads (Python 2)
Description-md5: 4ac933ed33e8b3b4bda206cfaca0d592
Architecture: amd64
Version: 1.15-1
Priority: optional
Section: universe/python
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 471
Depends: python (<< 2.8), python (>= 2.7~), python-xopen, python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.4)
Filename: pool/universe/p/python-cutadapt/python-cutadapt_1.15-1_amd64.deb
Size: 127572
MD5sum: 622abab47dbac770027e23207246c6bb
SHA1: ebc801318b345da97f1ef0fd5b40b18eae268aaa
SHA256: 6e0657006279b1076fcbb12e7d9f7fccae093afe027427894d9ced8d02bdb9b0
Homepage: http://pypi.python.org/pypi/cutadapt
Description: Clean biological sequences from high-throughput sequencing reads (Python 2)
Description-md5: 4ac933ed33e8b3b4bda206cfaca0d592