How to Install and Uninstall fitgcp Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 04,2024

1. Install "fitgcp" package

In this section, we are going to explain the necessary steps to install fitgcp on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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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 step by step instructions below to uninstall fitgcp on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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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 Ubuntu 16.04 LTS (Xenial Xerus)

Package: fitgcp
Priority: optional
Section: universe/science
Installed-Size: 80
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 0.0.20130418-2
Depends: python:any (>= 2.6.6-7~), python-scipy, python-numpy, python-pysam
Filename: pool/universe/f/fitgcp/fitgcp_0.0.20130418-2_amd64.deb
Size: 12298
MD5sum: 38947ea4a178e4c10fd7017523d117b0
SHA1: 2363c82db1bf6f2fe141bc26d9e9a8b23bb10ddd
SHA256: 2bfcedb97166c5f697b260fe5eca77ec6b34f3882c51aed80e0b8c5b33ab6413
Description-en: 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: 6d250046a14f2fb020b753ee88032582
Homepage: http://sourceforge.net/projects/fitgcp/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu