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

Last updated: November 07,2024

1. Install "kallisto" package

In this section, we are going to explain the necessary steps to install kallisto on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the instructions below to uninstall kallisto on Ubuntu 20.10 (Groovy Gorilla):


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

Package: kallisto
Architecture: amd64
Version: 0.46.2+dfsg-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: 718
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libhts3 (>= 1.10), libstdc++6 (>= 6), zlib1g (>= 1:1.1.4)
Filename: pool/universe/k/kallisto/kallisto_0.46.2+dfsg-2_amd64.deb
Size: 242084
MD5sum: 277766f0bc83f465b1fd1bcd1baab74f
SHA1: 06ba36a2a55b577f6987d5dd3e56b86684df5991
SHA256: 0cf1c5199671650ab73096cfdafe227b937f5cacea136fcbab4f0adbad5d3b9c
SHA512: 40d465aa688e17abb31b7ec791e8f6fc483e3b0b9a5692fb629ab0f3c0aff2ac957ed108cfdc66dee5df9c39f118622c559d054631441908df673e13552d0fad
Homepage: https://pachterlab.github.io/kallisto
Description-en: near-optimal RNA-Seq quantification
Kallisto is a program for quantifying abundances of transcripts from
RNA-Seq data, or more generally of target sequences using high-throughput
sequencing reads. It is based on the novel idea of pseudoalignment for
rapidly determining the compatibility of reads with targets, without the
need for alignment. On benchmarks with standard RNA-Seq data, kallisto
can quantify 30 million human reads in less than 3 minutes on a Mac
desktop computer using only the read sequences and a transcriptome index
that itself takes less than 10 minutes to build. Pseudoalignment of
reads preserves the key information needed for quantification, and
kallisto is therefore not only fast, but also as accurate than existing
quantification tools. In fact, because the pseudoalignment procedure is
robust to errors in the reads, in many benchmarks kallisto significantly
outperforms existing tools.
Description-md5: 9d173d648de2d1e7d239c362fbb1a5ae