How to Install and Uninstall chip-seq-data Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 14,2024

1. Install "chip-seq-data" package

Learn how to install chip-seq-data on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                chip-seq-data
            
                    
    
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2. Uninstall "chip-seq-data" package

Please follow the step by step instructions below to uninstall chip-seq-data on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                chip-seq-data
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the chip-seq-data package on Ubuntu 21.10 (Impish Indri)

Package: chip-seq-data
Architecture: all
Version: 1.5.5-3
Priority: optional
Section: universe/science
Source: chip-seq
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 20237
Filename: pool/universe/c/chip-seq/chip-seq-data_1.5.5-3_all.deb
Size: 3003688
MD5sum: a1b307b444eaeef7a426d5bc183b4668
SHA1: b7edfb8cb86a93079ddd5bcf28bb3ac403498856
SHA256: 7aa660e1cb168f03ae038954aac58ba9024a9c9f559ea59101a23e7ab9fdca69
SHA512: 907ff76dcdd2f9486042fa38fbc3994ce9b2ba5b435d87ea57dc683ee350f5b3a428696a772417a9788d272399f8985fe194f2ff43e51de7f0b38ab6c95b9843
Homepage: https://ccg.epfl.ch//chipseq
Description-en: tools performing common ChIP-Seq data analysis tasks (data)
The ChIP-Seq software provides a set of tools performing common genome-
wide ChIP- seq analysis tasks, including positional correlation
analysis, peak detection, and genome partitioning into signal-rich and
signal-poor regions. These tools exist as stand-alone C programs and
perform the following tasks:
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1. Positional correlation analysis and generation of an aggregation
plot (AP) (chipcor),
2. Extraction of specific genome annotation features around reference
anchor points (chipextract),
3. Read centering or shifting (chipcenter),
4. Narrow peak caller using a fixed width peak size (chippeak),
5. Broad peak caller used for large regions of enrichment (chippart),
6. Feature selection tool based on a read count threshold (chipscore).
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Because the ChIP-Seq tools are primarily optimized for speed, they use
their own compact format for ChIP-seq data representation called SGA
(Simplified Genome Annotation). SGA is a line-oriented, tab-delimited
plain text format.
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This package contains the database files shipped with chip-seq.
Description-md5: 4dbebf67890fecca5ace550e532701e8