How to Install and Uninstall chip-seq-data Package on Kali Linux

Last updated: December 23,2024

1. Install "chip-seq-data" package

This is a short guide on how to install chip-seq-data on Kali Linux


    
        
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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

This guide covers the steps necessary to uninstall chip-seq-data on Kali Linux:


    
        
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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 Kali Linux

Package: chip-seq-data
Source: chip-seq
Version: 1.5.5-3
Installed-Size: 20237
Maintainer: Debian Med Packaging Team
Architecture: all
Size: 3003644
SHA256: f447726c1aeb4e7e74ab00ab9d244cb7e881555aae7a761538fab52d013383ff
SHA1: 747b5125f5190f61437a00fdf2be5ea1b4616363
MD5sum: ac9e1ca4ebdfa04beacaad8180d17898
Description: 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:
Homepage: https://ccg.epfl.ch//chipseq
Section: science
Priority: optional
Filename: pool/main/c/chip-seq/chip-seq-data_1.5.5-3_all.deb