How to Install and Uninstall bio-rainbow Package on Kali Linux

Last updated: April 29,2024

1. Install "bio-rainbow" package

This tutorial shows how to install bio-rainbow on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                bio-rainbow
            
                    
    
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2. Uninstall "bio-rainbow" package

Here is a brief guide to show you how to uninstall bio-rainbow on Kali Linux:


    
        
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                sudo apt remove
            
                        
                bio-rainbow
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bio-rainbow package on Kali Linux

Package: bio-rainbow
Version: 2.0.4+dfsg-2
Installed-Size: 186
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.29), perl:any
Size: 60260
SHA256: 283d67b39eb9b2accc77fea45eed43a8903113b4fe03add53e0d8ec8b2103ae9
SHA1: e88cff8e1bce45d25ad2158a5afef4dd8cb932b4
MD5sum: 607596fbd7640f920eef3801f41a1568
Description: clustering and assembling short reads for bioinformatics
Efficient tool for clustering and assembling short reads,
especially for RAD.
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Rainbow is developed to provide an ultra-fast and memory-efficient
solution to clustering and assembling short reads produced by RAD-seq.
First, Rainbow clusters reads using a spaced seed method. Then, Rainbow
implements a heterozygote calling like strategy to divide potential
groups into haplotypes in a top-down manner. long a guided tree, it
iteratively merges sibling leaves in a bottom-up manner if they are
similar enough. Here, the similarity is defined by comparing the 2nd
reads of a RAD segment. This approach tries to collapse heterozygote
while discriminate repetitive sequences. At last, Rainbow uses a greedy
algorithm to locally assemble merged reads into contigs. Rainbow not
only outputs the optimal but also suboptimal assembly results. Based on
simulation and a real guppy RAD-seq data, it is shown that Rainbow is
more competent than the other tools in dealing with RAD-seq data.
Description-md5:
Homepage: http://sourceforge.net/projects/bio-rainbow/
Section: science
Priority: optional
Filename: pool/main/b/bio-rainbow/bio-rainbow_2.0.4+dfsg-2_amd64.deb