How to Install and Uninstall kissplice Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 12,2024

1. Install "kissplice" package

Please follow the steps below to install kissplice on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                kissplice
            
                    
    
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2. Uninstall "kissplice" package

Learn how to uninstall kissplice on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                kissplice
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the kissplice package on Ubuntu 20.10 (Groovy Gorilla)

Package: kissplice
Architecture: amd64
Version: 2.5.3-2
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 16657
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), zlib1g (>= 1:1.1.4), python3:any
Filename: pool/universe/k/kissplice/kissplice_2.5.3-2_amd64.deb
Size: 4164380
MD5sum: 653523ce3c15626d3102fc5d495cb9b9
SHA1: 8379d031eed200b6998e845bbf9e31d7c28eb0e9
SHA256: 30e63e3c5d907d1ec04d5ae69aac465a09cdc8b78305c5e1d2da7cec629e7330
SHA512: 075327f8a8943f68dce892cae575313a5c0b2dd035e0ce0edd04761913cf96553b992ef80114512c74e0a0998e228f550b849492c3fa33900e458ef0864bc877
Homepage: http://kissplice.prabi.fr/
Description-en: Detection of various kinds of polymorphisms in RNA-seq data
KisSplice is a piece of software that enables the analysis of RNA-seq data
with or without a reference genome. It is an exact local transcriptome
assembler that allows one to identify SNPs, indels and alternative splicing
events. It can deal with an arbitrary number of biological conditions, and
will quantify each variant in each condition.
It has been tested on Illumina datasets of up to 1G reads.
Its memory consumption is around 5Gb for 100M reads.
Description-md5: 6d716ae983176c617d58d582ce80f786