How to Install and Uninstall python3-biom-format Package on Kali Linux

Last updated: December 23,2024

1. Install "python3-biom-format" package

This is a short guide on how to install python3-biom-format on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-biom-format
            
                    
    
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2. Uninstall "python3-biom-format" package

Learn how to uninstall python3-biom-format on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-biom-format
            
                    
    
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            $
        

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

Package: python3-biom-format
Source: python-biom-format
Version: 2.1.15.2-3
Installed-Size: 1107
Maintainer: Debian Med Packaging Team
Architecture: amd64
Provides: biom-format-tools
Depends: python3-h5py, python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3 (<< 3.13), python3 (>= 3.11~), python3-click, python3-pandas, python3-scipy, python3:any, libc6 (>= 2.4)
Suggests: python-biom-format-doc
Size: 181604
SHA256: f03d9846745d9e4f5c10d2819f616338d65c9b7284d72962f71d36fc2ac2502f
SHA1: 06c319519f1603300015e33ede7c8daf577c6ca8
MD5sum: 5f33d474a70322f3074e7449900a609d
Description: Biological Observation Matrix (BIOM) format (Python 3)
The BIOM file format (canonically pronounced biome) is designed to be a
general-use format for representing biological sample by observation
contingency tables. BIOM is a recognized standard for the Earth
Microbiome Project and is a Genomics Standards Consortium candidate
project.
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The BIOM format is designed for general use in broad areas of
comparative -omics. For example, in marker-gene surveys, the primary use
of this format is to represent OTU tables: the observations in this case
are OTUs and the matrix contains counts corresponding to the number of
times each OTU is observed in each sample. With respect to metagenome
data, this format would be used to represent metagenome tables: the
observations in this case might correspond to SEED subsystems, and the
matrix would contain counts corresponding to the number of times each
subsystem is observed in each metagenome. Similarly, with respect to
genome data, this format may be used to represent a set of genomes: the
observations in this case again might correspond to SEED subsystems, and
the counts would correspond to the number of times each subsystem is
observed in each genome.
.
This package provides the BIOM format library for the Python 3 interpreter.
Description-md5:
Homepage: https://biom-format.org/
Section: python
Priority: optional
Filename: pool/main/p/python-biom-format/python3-biom-format_2.1.15.2-3_amd64.deb