How to Install and Uninstall kallisto Package on Kali Linux

Last updated: May 18,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "kallisto" package

Please follow the step by step instructions below to install kallisto on Kali Linux


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

In this section, we are going to explain the necessary steps to uninstall kallisto on Kali Linux:


    
        
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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 Kali Linux

Package: kallisto
Version: 0.48.0+dfsg-4
Installed-Size: 772
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libhts3 (>= 1.10), libstdc++6 (>= 11), zlib1g (>= 1:1.1.4)
Size: 274884
SHA256: 02bf6b73a7ed19e250d6d5917dc7be46d9def501796b36fc919d33bfe9c8e09b
SHA1: 41297ac60f5be0123d9aed0814e4b4a16fa52c82
MD5sum: c7f9306a239b4c4cb6a5a13f8a503e27
Description: 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:
Homepage: https://pachterlab.github.io/kallisto
Section: science
Priority: optional
Filename: pool/main/k/kallisto/kallisto_0.48.0+dfsg-4_amd64.deb