How to Install and Uninstall chromhmm-example Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 14,2024

1. Install "chromhmm-example" package

Please follow the steps below to install chromhmm-example on Ubuntu 21.04 (Hirsute Hippo)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                chromhmm-example
            
                    
    
    Copied

2. Uninstall "chromhmm-example" package

Please follow the steps below to uninstall chromhmm-example on Ubuntu 21.04 (Hirsute Hippo):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                chromhmm-example
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the chromhmm-example package on Ubuntu 21.04 (Hirsute Hippo)

Package: chromhmm-example
Architecture: all
Version: 1.21+dfsg-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: chromhmm
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 37364
Enhances: chromhmm
Filename: pool/universe/c/chromhmm/chromhmm-example_1.21+dfsg-1_all.deb
Size: 38045400
MD5sum: a671927bfa9c5027a286b352096f0a38
SHA1: c61580c643fad3a9bede890a55327e7098e962a7
SHA256: 6157410aa24b27832b7e012e045084f701bd8c055907563025ebb29742b5c05e
SHA512: 1a7dab34ec3c3fa0a767070e9f8fc739cfb68a49d4b0f2919fd7ccd15d7aedc02a1cdae36267cb7bab98bc6a890ea21b53173d5252b7ccce996df0a394ef51af
Homepage: http://compbio.mit.edu/ChromHMM/
Description-en: Chromatin state discovery and characterization (example)
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.
.
This package provides example to work with ChromHMM.
Description-md5: 3572f4435730b38208e1cb26fe125d2f