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

Last updated: May 23,2024

1. Install "kallisto-examples" package

Please follow the instructions below to install kallisto-examples on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: kallisto-examples
Architecture: all
Version: 0.46.2+dfsg-2
Multi-Arch: foreign
Priority: optional
Section: universe/science
Source: kallisto
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 871
Recommends: kallisto
Suggests: snakemake
Filename: pool/universe/k/kallisto/kallisto-examples_0.46.2+dfsg-2_all.deb
Size: 667020
MD5sum: 40e530b8765670f9349036885874727c
SHA1: 9e1a20e6a8c10f5460b6d165dab5fbc9c785c25a
SHA256: 938a7424ec16fd0fa80e0e24753b05ef581e5d93894334f11230c39634f5d8a8
SHA512: a6c3c0ef02c0d0c578ac21bbceab690dd1b3c4b04e5cd9f2fe38fe226cdd8ae5ba45e1fccbe810d4af7d276edc5ac5083573f3cd1f28c9b8a1eca391f1a4b679
Homepage: https://pachterlab.github.io/kallisto
Description-en: near-optimal RNA-Seq quantification (example data)
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.
.
This package contains usage examples which are used in autopkgtest.
Description-md5: 26f735b25852358e202670077e2510b5