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

Last updated: May 05,2024

1. Install "skesa" package

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


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

Please follow the guidelines below to uninstall skesa on Ubuntu 20.10 (Groovy Gorilla):


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

Package: skesa
Architecture: amd64
Version: 2.4.0-1
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: 2429
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libncbi-vdb2 (>= 2.10.6+dfsg), libstdc++6 (>= 7), zlib1g (>= 1:1.1.4)
Filename: pool/universe/s/skesa/skesa_2.4.0-1_amd64.deb
Size: 602940
MD5sum: 0cff5cf3c66327e8ea7d38810d15023d
SHA1: f3143a571c0a9a56f2dd3fb1bae5c4803e62d7cb
SHA256: 9b95d62d53c34a2aed63223a2bfb5f15781087aa8e8c4b96779ca12dffb974fb
SHA512: 47e49cedff880c35dd7aa59f73187d75981260d298f7fa452d152aa0c3139be0d3636151f31d3ff2daff30a703e7e3138cea8e88151499084c65ad5478c57b91
Homepage: https://github.com/ncbi/SKESA
Description-en: strategic Kmer extension for scrupulous assemblies
SKESA is a DeBruijn graph-based de-novo assembler designed for
assembling reads of microbial genomes sequenced using Illumina.
Comparison with SPAdes and MegaHit shows that SKESA produces assemblies
that have high sequence quality and contiguity, handles low-level
contamination in reads, is fast, and produces an identical assembly for
the same input when assembled multiple times with the same or different
compute resources. SKESA has been used for assembling over 272,000 read
sets in the Sequence Read Archive at NCBI and for real-time pathogen
detection.
Description-md5: 3f76b71495acd23fbe69ac87d2aa1490