How to Install and Uninstall python3-nanoget Package on Kali Linux

Last updated: November 07,2024

1. Install "python3-nanoget" package

Please follow the guidelines below to install python3-nanoget on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-nanoget
            
                    
    
    Copied

2. Uninstall "python3-nanoget" package

Learn how to uninstall python3-nanoget on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-nanoget
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-nanoget package on Kali Linux

Package: python3-nanoget
Source: python-nanoget
Version: 1.19.3-1
Installed-Size: 52
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3-numpy, python3-pandas (>= 2.0.0), python3-pysam, python3:any, python3-nanomath
Size: 11700
SHA256: a69909d14fdd8d5ed3137c6a6864ab1562467bf49c44d37b55cfac7d65735510
SHA1: 84536e1dcbb3b90e6552f0d70664ccd6ed51bfb2
MD5sum: b27c8749ed1dec14ef9ed4d10ff99a5f
Description: 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:
Homepage: https://github.com/wdecoster/nanoget
Section: python
Priority: optional
Filename: pool/main/p/python-nanoget/python3-nanoget_1.19.3-1_all.deb