How to Install and Uninstall chromhmm Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "chromhmm" package

Please follow the guidelines below to install chromhmm on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the step by step instructions below to uninstall chromhmm on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                chromhmm
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the chromhmm package on Ubuntu 20.10 (Groovy Gorilla)

Package: chromhmm
Architecture: all
Version: 1.21+dfsg-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 201
Depends: default-jre | java7-runtime | java8-runtime | java9-runtime | java10-runtime | java11-runtime, libbatik-java, libhtsjdk-java, libjheatchart-java
Filename: pool/universe/c/chromhmm/chromhmm_1.21+dfsg-1_all.deb
Size: 184216
MD5sum: 1b96721f5c417d09306d75d2eb225471
SHA1: 019ddfda8643446ee2241b9d1c139ebd50a0be66
SHA256: 6283506906a17bc8b50f5e57214648bdbf96f355c3e65b04b058eeb817f1db5c
SHA512: dfbb18a1df5ea179512fa97ea4b43c1a715a51c7736188bda6a2e3589bad19599fde5e3631d6a4310984a2c42b94a8a4d8ac9c1ba3bc8d0b24e6d0cd198f5da3
Homepage: http://compbio.mit.edu/ChromHMM/
Description-en: Chromatin state discovery and characterization
ChromHMM is software for learning and characterizing chromatin states.
ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of
various histone modifications to discover de novo the major re-occuring
combinatorial and spatial patterns of marks. ChromHMM is based on a
multivariate Hidden Markov Model that explicitly models the presence or
absence of each chromatin mark. The resulting model can then be used to
systematically annotate a genome in one or more cell types. By automatically
computing state enrichments for large-scale functional and annotation datasets
ChromHMM facilitates the biological characterization of each state. ChromHMM
also produces files with genome-wide maps of chromatin state annotations that
can be directly visualized in a genome browser.
Description-md5: 9f69005f0878f8c58d9c5cf8207d4d4b