How to Install and Uninstall ssake Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 17,2024

1. Install "ssake" package

Please follow the guidance below to install ssake on Ubuntu 21.10 (Impish Indri)


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

This tutorial shows how to uninstall ssake on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                ssake
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the ssake package on Ubuntu 21.10 (Impish Indri)

Package: ssake
Architecture: all
Version: 4.0-3
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: 214
Depends: perl:any, python3, libperl4-corelibs-perl
Suggests: ssake-examples
Filename: pool/universe/s/ssake/ssake_4.0-3_all.deb
Size: 49056
MD5sum: 9ef0004d859c1352e60f7b80cb05c64d
SHA1: 0f9508e8762e3395331ce219e5fb233be121eef5
SHA256: 791045f623641178923475cc46e507fae028dde6e9d3798c87bb66cadc98025d
SHA512: 4b1b599a487e46f27cd8b9d250fdeeb1f5b918dc6283eb0f66c09f681a0966cfd7f06afbad73a7059c4d019e1f358b2d8609045ef40381c154823316e203cc8a
Homepage: http://www.bcgsc.ca/platform/bioinfo/software/ssake
Description-en: genomics application for assembling millions of very short DNA sequences
The Short Sequence Assembly by K-mer search and 3′ read Extension
(SSAKE) is a genomics application for aggressively assembling
millions of short nucleotide sequences by progressively searching for
perfect 3′-most k-mers using a DNA prefix tree. SSAKE is designed to
help leverage the information from short sequences reads by
stringently clustering them into contigs that can be used to
characterize novel sequencing targets.
Description-md5: 21b61abaf6cd2455dd2f4d4ccf5c4e33