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

Last updated: November 05,2024

1. Install "python3-nanoget-examples" package

In this section, we are going to explain the necessary steps to install python3-nanoget-examples on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-nanoget-examples
            
                    
    
    Copied

2. Uninstall "python3-nanoget-examples" package

Please follow the step by step instructions below to uninstall python3-nanoget-examples on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-nanoget-examples
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python3-nanoget-examples
Source: python-nanoget
Version: 1.19.3-1
Installed-Size: 25587
Maintainer: Debian Med Packaging Team
Architecture: all
Enhances: python3-nanoget
Size: 26183880
SHA256: f8f43748cc64727f98320f9a0ac76516cef1f664ac04e75133c16a7f5d2c0918
SHA1: 5bb1d9216e7584744377de57d25f6cba2e9956a9
MD5sum: 5d9f64fbd55fd5e39d90c0b3bf091d66
Description: 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:
Multi-Arch: foreign
Homepage: https://github.com/wdecoster/nanoget
Section: python
Priority: optional
Filename: pool/main/p/python-nanoget/python3-nanoget-examples_1.19.3-1_all.deb