How to Install and Uninstall fitgcp Package on Kali Linux

Last updated: November 26,2024

1. Install "fitgcp" package

This is a short guide on how to install fitgcp on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                fitgcp
            
                    
    
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2. Uninstall "fitgcp" package

Please follow the guidelines below to uninstall fitgcp on Kali Linux:


    
        
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                sudo apt remove
            
                        
                fitgcp
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the fitgcp package on Kali Linux

Package: fitgcp
Version: 0.0.20150429-5
Installed-Size: 23164
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3:any, python3-scipy, python3-numpy, python3-pysam
Size: 3675556
SHA256: 307132bcde037065d1602362f025c2d0fbc968351dd522c3d99b228d8ed5e437
SHA1: 76962590be9f3bb004ba2b46bdedd835f7b36a49
MD5sum: a657acb87dccc3c25bda71f1017cd38e
Description: fitting genome coverage distributions with mixture models
Genome coverage, the number of sequencing reads mapped to a position in
a genome, is an insightful indicator of irregularities within sequencing
experiments. While the average genome coverage is frequently used within
algorithms in computational genomics, the complete information available
in coverage profiles (i.e. histograms over all coverages) is currently
not exploited to its full extent. Thus, biases such as fragmented or
erroneous reference genomes often remain unaccounted for. Making this
information accessible can improve the quality of sequencing experiments
and quantitative analyses.
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fitGCP is a framework for fitting mixtures of probability distributions
to genome coverage profiles. Besides commonly used distributions, fitGCP
uses distributions tailored to account for common artifacts. The mixture
models are iteratively fitted based on the Expectation-Maximization
algorithm.
Description-md5:
Homepage: http://sourceforge.net/projects/fitgcp/
Section: science
Priority: optional
Filename: pool/main/f/fitgcp/fitgcp_0.0.20150429-5_all.deb