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

Last updated: December 18,2024

1. Install "python3-bx" package

This guide let you learn how to install python3-bx on Kali Linux


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

In this section, we are going to explain the necessary steps to uninstall python3-bx on Kali Linux:


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

Package: python3-bx
Source: python-bx
Version: 0.11.0-2
Installed-Size: 5753
Maintainer: Debian Med Packaging Team
Architecture: amd64
Provides: python3-bx-tools
Depends: python3-lzo, libc6 (>= 2.14), zlib1g (>= 1:1.1.4), python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any
Size: 1069624
SHA256: e977931dfb5b55c75041b82efaf5ffaf1fcfff902f0453bf197d90cdbb3acdf2
SHA1: 8e116d935084dd035b4cd66145de9179f7db7f5c
MD5sum: cef544740e1a5a83c6108c4373f18dce
Description: library to manage genomic data and its alignment
The bx-python project is a Python3 library and associated set of scripts to
allow for rapid implementation of genome scale analyses. The library contains
a variety of useful modules, but the particular strengths are:
* Classes for reading and working with genome-scale multiple local
alignments (in MAF, AXT, and LAV formats)
* Generic data structure for indexing on disk files that contain blocks of
data associated with intervals on various sequences (used, for example, to
provide random access to individual alignments in huge files; optimized
for use over network filesystems)
* Data structures for working with intervals on sequences
* "Binned bitsets" which act just like chromosome sized bit arrays, but
lazily allocate regions and allow large blocks of all set or all unset
bits to be stored compactly
* "Intersecter" for performing fast intersection tests that preserve both
query and target intervals and associated annotation
Description-md5:
Homepage: https://github.com/bxlab/bx-python
Section: python
Priority: optional
Filename: pool/main/p/python-bx/python3-bx_0.11.0-2_amd64.deb