How to Install and Uninstall baitfisher Package on Kali Linux

Last updated: November 05,2024

1. Install "baitfisher" package

This tutorial shows how to install baitfisher on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                baitfisher
            
                    
    
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2. Uninstall "baitfisher" package

Please follow the step by step instructions below to uninstall baitfisher on Kali Linux:


    
        
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                sudo apt remove
            
                        
                baitfisher
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the baitfisher package on Kali Linux

Package: baitfisher
Version: 1.2.7+git20211020.de26d5c+dfsg-1
Installed-Size: 642
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Size: 200748
SHA256: 3861b82b9badb409175df5410435d1e4cba0006a2c17af96f13e5086e6f135ce
SHA1: 83388b1b2a2ff2a60454786b17385d550066a271
MD5sum: 74843c77b91a71061c58595fae4af0cf
Description: software package for designing hybrid enrichment probes
The BaitFisher package consists of two programs: BaitFisher and BaitFilter.
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BaitFisher was been designed to construct hybrid enrichment baits from
multiple sequence alignments (MSAs) or annotated features in MSAs. The main
goal of BaitFisher is to avoid redundancy in the construction of baits by
designing fewer baits in conserved regions of the MSAs and designing more baits
in variable regions. This makes use of the fact that hybrid enrichment baits
can differ to some extends from the target region, which they should capture
in the enrichment procedure.
By specifying the allowed distance between baits and the sequences in the MSAs
the user can control the allowed bait-to-target distance and the degree of
reduction in the number of baits that are designed.
See the BaitFisher paper for details.
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BaitFilter was designed (i) to determine whether baits bind unspecifically to
a reference genome, (ii) to filter baits that only have partial length matches
to a reference genome, (iii) to determine the optimal bait region in a MSA and
to convert baits to a format that can be uploaded at a bait constructing
company. The optimal bait region can be the most conserved region in the MSA
or the region with the highest number of sequences without gaps or ambiguous
nucleotides.
Description-md5:
Homepage: https://github.com/cmayer/BaitFisher-package
Section: science
Priority: optional
Filename: pool/main/b/baitfisher/baitfisher_1.2.7+git20211020.de26d5c+dfsg-1_amd64.deb