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

Last updated: February 17,2025

1. Install "python3-nanoget" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-nanoget
            
                    
    
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2. Uninstall "python3-nanoget" package

This guide let you learn how to uninstall python3-nanoget on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-nanoget
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-nanoget package on Ubuntu 21.10 (Impish Indri)

Package: python3-nanoget
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: 49
Depends: python3-biopython, python3-nanomath, python3-numpy, python3-pandas, python3-pysam, python3:any
Filename: pool/universe/p/python-nanoget/python3-nanoget_1.12.2-4_all.deb
Size: 10708
MD5sum: 9ee27db501ca7f55744604a1fee3e74f
SHA1: 1970c1406943bf417ec4ead07c71908ebd35d326
SHA256: 001ea0158743711dccfcca9b09a1d272232dc7e1a0cc1e7bd01205deb4a24477
SHA512: 115b14d1b528e0d153f28145facfe83e7f9268b371184bbaf9b829d509a37296d8437f4bcd9fd9cd507f8f3dcc04c7436e772d3ab5d13c57f3e0df68d021c55a
Homepage: https://github.com/wdecoster/nanoget
Description-en: extract information from Oxford Nanopore sequencing data and alignments
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.
Description-md5: b717656953ba87a065e49966061c1863