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

Last updated: May 20,2024

1. Install "python3-pybigwig" package

Please follow the step by step instructions below to install python3-pybigwig on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-pybigwig
            
                    
    
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2. Uninstall "python3-pybigwig" package

This tutorial shows how to uninstall python3-pybigwig on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-pybigwig
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-pybigwig package on Kali Linux

Package: python3-pybigwig
Source: pybigwig (0.3.22+dfsg-1)
Version: 0.3.22+dfsg-1+b1
Installed-Size: 220
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3 (<< 3.13), python3 (>= 3.11~), python3:any, libbigwig0 (>= 0.4.6), libc6 (>= 2.4), libpython3.11 (>= 3.11.5), libpython3.12 (>= 3.12.0)
Size: 44556
SHA256: 9556b1bb3daab2b971c3d8f1bd43df652c42846fb78f7d2f88376c86998b4c00
SHA1: db8084dccaff8b6e1977f838614db5f962b1fea8
MD5sum: 953b51f83d1f70168b5af0989697e934
Description: Python 3 module for quick access to bigBed and bigWig files
This is a Python extension, written in C, for quick access to bigBed files,
and access to and creation of bigWig files.
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The bigWig format was originally created in the context of genome
browsers. There, computing exact summary statistics for a given interval
is less important than quickly being able to compute an approximate
statistic. Because of this, bigWig files contain not only interval-value
associations, but also `sum of values`/`sum of squared values`/`minimum
value`/`maximum value`/`number of bases covered` for equally sized
bins of various sizes. These different sizes are referred to as "zoom
levels". The smallest zoom level has bins that are 16 times the mean
interval size in the file and each subsequent zoom level has bins 4 times
larger than the previous. This methodology is used in Kent's tools and,
therefore, likely used in almost every currently existing bigWig file.
.
When a bigWig file is queried for a summary statistic, the size of the
interval is used to determine whether to use a zoom level and, if so,
which one. The optimal zoom level is that which has the largest bins no
more than half the width of the desired interval. If no such zoom level
exists, the original intervals are instead used for the calculation.
Description-md5:
Homepage: https://github.com/dpryan79/pyBigWig
Section: science
Priority: optional
Filename: pool/main/p/pybigwig/python3-pybigwig_0.3.22+dfsg-1+b1_amd64.deb