How to Install and Uninstall python3-nanoget-examples Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 10,2024

1. Install "python3-nanoget-examples" package

In this section, we are going to explain the necessary steps to install python3-nanoget-examples on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-nanoget-examples

2. Uninstall "python3-nanoget-examples" package

Please follow the step by step instructions below to uninstall python3-nanoget-examples on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-nanoget-examples $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-nanoget-examples package on Ubuntu 21.10 (Impish Indri)

Package: python3-nanoget-examples
Architecture: all
Version: 1.12.2-4
Priority: optional
Section: universe/python
Source: python-nanoget
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 25565
Enhances: python3-nanoget
Filename: pool/universe/p/python-nanoget/python3-nanoget-examples_1.12.2-4_all.deb
Size: 26160864
MD5sum: 079351260e602e7cea40157a1005da31
SHA1: 298b8ffbc436a78598bb3e0499796f052bdd1397
SHA256: 5d0a72829602d3dea559ca67f3107b4ad7e576b598e84a7bb8a0d23b563ff3ae
SHA512: fb49a2f084cc9bd7c639083131840d7ee64e90f8727717f9fd4440e1a67556c9f9871f6f56e0893524d9c371baa5b34d3fa34ce176353dc45e37c40e9d74b821
Homepage: https://github.com/wdecoster/nanoget
Description-en: example data for python3-nanoget (dealing with Oxford Nanopore data)
The Python3 module nanoget provides functions to extract useful metrics
from Oxford Nanopore sequencing reads and alignments.
.
Data can be presented in the following formats, using the following functions:
.
* sorted bam file process_bam(bamfile, threads)
* standard fastq file process_fastq_plain(fastqfile, 'threads')
* fastq file with metadata from MinKNOW or Albacore
process_fastq_rich(fastqfile)
* sequencing_summary file generated by Albacore
process_summary(sequencing_summary.txt, 'readtype')
.
Fastq files can be compressed using gzip, bzip2 or bgzip. The data is
returned as a pandas DataFrame with standardized headernames for
convenient extraction. The functions perform logging while being called
and extracting data.
.
This package just contains an example script and the data to run the example.
Description-md5: 0800cf858e5581683ab053d467fc31b1