How to Install and Uninstall r-bioc-grohmm Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 03,2024

1. Install "r-bioc-grohmm" package

Please follow the step by step instructions below to install r-bioc-grohmm on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-bioc-grohmm
            
                    
    
    Copied

2. Uninstall "r-bioc-grohmm" package

Please follow the guidelines below to uninstall r-bioc-grohmm on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-bioc-grohmm
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-grohmm package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-grohmm
Architecture: amd64
Version: 1.22.0-2
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: 4499
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-api-bioc-3.11, r-cran-mass, r-bioc-s4vectors (>= 0.17.25), r-bioc-iranges (>= 2.13.12), r-bioc-genomeinfodb, r-bioc-genomicranges (>= 1.31.8), r-bioc-genomicalignments (>= 1.15.6), r-bioc-rtracklayer (>= 1.39.7), libc6 (>= 2.4)
Suggests: r-bioc-genomicfeatures, r-bioc-edger, r-bioc-org.hs.eg.db
Filename: pool/universe/r/r-bioc-grohmm/r-bioc-grohmm_1.22.0-2_amd64.deb
Size: 4434428
MD5sum: 21a688583ae52a6df3bc8cd42f09bc50
SHA1: 34378562c0ee20ed46e66bcc4c065fd95c6a9285
SHA256: cd1af1ccc0b77af0ee17bd1b66897bfcab2ef51963e09935c0b10ad001c3f913
SHA512: e313af09485e72247cfe9af94aee7a1222a9b31256f5ea64136d6554980cd4a8da61a50c97fdbd8b5522b341823927130ba98bbb886fa991afe5fdb5d311f7fc
Homepage: https://bioconductor.org/packages/groHMM/
Description-en: GRO-seq Analysis Pipeline
This BioConductor package provides a pipeline for the analysis of GRO-
seq data. Among the more advanced features, r-bioc-grohmm predicts the
boundaries of transcriptional activity across the genome de novo using a
two-state hidden Markov model (HMM).
.
The used model essentially divides the genome into transcribed and non-
transcribed regions in a strand specific manner. HMMs are used to
identify the leading edge of Pol II at genes activated by a stimulus in
GRO-seq time course data. This approach allows the genome-wide
interrogation of transcription rates in cells.
Description-md5: e4ad61448703c8dc65b7219979430710