How to Install and Uninstall r-bioc-titancna Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "r-bioc-titancna" package

Please follow the guidance below to install r-bioc-titancna on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-titancna
            
                    
    
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2. Uninstall "r-bioc-titancna" package

This guide covers the steps necessary to uninstall r-bioc-titancna on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-bioc-titancna
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-titancna package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-titancna
Architecture: amd64
Version: 1.28.0-2
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7619
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-bioc-biocgenerics (>= 0.31.6), r-bioc-iranges (>= 2.6.1), r-bioc-genomicranges (>= 1.24.3), r-bioc-variantannotation (>= 1.18.7), r-cran-foreach (>= 1.4.3), r-bioc-genomeinfodb (>= 1.8.7), r-cran-data.table (>= 1.10.4), r-cran-dplyr (>= 0.5.0), libc6 (>= 2.14)
Filename: pool/universe/r/r-bioc-titancna/r-bioc-titancna_1.28.0-2_amd64.deb
Size: 3950408
MD5sum: 633f499c6c9fe1c0f11c48e5d71f0f4d
SHA1: 0f9856d582152526d72f63bb08744de80c10d40e
SHA256: 32527a9f11e406a6bec7d35b5b6815fa8dd57f78c90913348e2a0840b4372aa3
SHA512: 6670dfd3843ff3d2fcd16e131f24ca184d8fc08bef11adeb7dbd1f2102e4cd111141962cd5aeb9a15142ed2902671580140e03b5cb75bd5bf02bc5702e203b63
Homepage: https://bioconductor.org/packages/TitanCNA/
Description-en: Subclonal copy number and LOH prediction from whole genome sequencing
Hidden Markov model to segment and predict regions of
subclonal copy number alterations (CNA) and loss of
heterozygosity (LOH), and estimate cellular prevalence of
clonal clusters in tumour whole genome sequencing data.
Description-md5: 1f4507bd0fdc9ecda6e72377aef4d0df