How to Install and Uninstall trinityrnaseq Package on Kali Linux

Last updated: May 06,2024

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

1. Install "trinityrnaseq" package

Please follow the steps below to install trinityrnaseq on Kali Linux


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

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


    
        
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                sudo apt remove
            
                        
                trinityrnaseq
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the trinityrnaseq package on Kali Linux

Package: trinityrnaseq
Version: 2.15.1+dfsg-5
Installed-Size: 7455
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libhts3 (>= 1.17), libstdc++6 (>= 13.1), zlib1g (>= 1:1.1.4), perl:any, jaligner, libgetopt-java, libjung-free-java, bowtie, bowtie2, libwww-perl, default-jre-headless, samtools, jellyfish, r-base-core, rsem, berkeley-express, trimmomatic, parafly, ncbi-blast+, python3, liburi-perl, python3-htseq, subread, kallisto
Recommends: curl, trinityrnaseq-examples, picard-tools, tabix, gmap, salmon, rna-star, hisat2, r-cran-tidyverse, r-cran-readr, r-bioc-edger, r-bioc-deseq2, r-bioc-rots, r-cran-cluster, r-cran-fastcluster, r-bioc-ctc, r-bioc-goseq, r-cran-goplot, r-cran-gplots, r-bioc-dexseq, r-cran-ape, r-bioc-biobase, r-bioc-qvalue, r-cran-argparse, r-cran-kernsmooth, python3-numpy, python3-hisat2
Suggests: collectl, transdecoder, r-bioc-tximport, r-bioc-tximportdata
Size: 1720476
SHA256: 394c7568e55daef876b023f4b1ff24f6f8da036ca19c96f370913d0cc8fc9758
SHA1: e1f105b49016f7907f19f2c5d40aa679d5eea920
MD5sum: c9898c5b837c1e06b910d375e3fc8af0
Description: RNA-Seq De novo Assembly
Trinity represents a novel method for the efficient and robust de novo
reconstruction of transcriptomes from RNA-seq data. Trinity combines three
independent software modules: Inchworm, Chrysalis, and Butterfly, applied
sequentially to process large volumes of RNA-seq reads. Trinity partitions
the sequence data into many individual de Bruijn graphs, each representing the
transcriptional complexity at a given gene or locus, and then processes
each graph independently to extract full-length splicing isoforms and to tease
apart transcripts derived from paralogous genes.
Description-md5:
Homepage: https://github.com/trinityrnaseq/trinityrnaseq
Section: science
Priority: optional
Filename: pool/main/t/trinityrnaseq/trinityrnaseq_2.15.1+dfsg-5_amd64.deb