How to Install and Uninstall tnseq-transit Package on Kali Linux

Last updated: January 26,2025

1. Install "tnseq-transit" package

Please follow the guidelines below to install tnseq-transit on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                tnseq-transit
            
                    
    
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2. Uninstall "tnseq-transit" package

Learn how to uninstall tnseq-transit on Kali Linux:


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

Package: tnseq-transit
Version: 3.3.4-1
Installed-Size: 163131
Maintainer: Debian Med Packaging Team
Architecture: amd64
Replaces: transit
Provides: transit
Depends: python3-matplotlib, python3-numpy, python3-pil, python3-pkg-resources, python3-pubsub, python3-scipy, python3-sklearn, python3-statsmodels, python3-wxgtk4.0, python3:any, bwa
Breaks: transit
Size: 29913544
SHA256: 8057b46d05a2bdd2963de82fa544d78813cf84b23897e76a4d0190aa45ea5f0d
SHA1: 74578d0f22ac2ec9e48fe4f974e39e34e0c96705
MD5sum: 734a2044ef87da5f42d562960cd23c67
Description: statistical calculations of essentiality of genes or genomic regions
This is a software that can be used to analyze Tn-Seq datasets. It
includes various statistical calculations of essentiality of genes or
genomic regions (including conditional essentiality between 2
conditions). These methods were developed and tested as a collaboration
between the Sassetti lab (UMass) and the Ioerger lab (Texas A&M)
.
TRANSIT is capable of analyzing TnSeq libraries constructed with Himar1
or Tn5 datasets.
.
TRANSIT assumes you have already done pre-processing of raw sequencing
files (.fastq) and extracted read counts into a .wig formatted file.
The .wig file should contain the counts at all sites where an insertion
could take place (including sites with no reads). For Himar1 datasets
this is all TA sites in the genome. For Tn5 datasets this would be all
nucleotides in the genome.
Description-md5:
Homepage: http://saclab.tamu.edu/essentiality/transit/
Section: science
Priority: optional
Filename: pool/main/t/tnseq-transit/tnseq-transit_3.3.4-1_amd64.deb