How to Install and Uninstall rsem Package on Kali Linux

Last updated: May 16,2024

1. Install "rsem" package

Please follow the instructions below to install rsem on Kali Linux


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

This is a short guide on how to uninstall rsem on Kali Linux:


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

Package: rsem
Version: 1.3.3+dfsg-3
Installed-Size: 37109
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libhts3 (>= 1.17), libstdc++6 (>= 13.1), perl:any, r-base-core, bowtie | bowtie2, python3
Suggests: r-bioc-ebseq, hisat2
Size: 36149204
SHA256: cdd919432fe063cfc94358fbb9005e368c81623ba24a94e55081bb18824d7c67
SHA1: 5fc9daa2d2efc9081f519c5b65a8fd5a149846b8
MD5sum: eddbb56fcef844868abd8719711d75a6
Description: RNA-Seq by Expectation-Maximization
RSEM is a software package for estimating gene and isoform expression
levels from RNA-Seq data. The RSEM package provides an user-friendly
interface, supports threads for parallel computation of the EM
algorithm, single-end and paired-end read data, quality scores,
variable-length reads and RSPD estimation. In addition, it provides
posterior mean and 95% credibility interval estimates for expression
levels. For visualization, It can generate BAM and Wiggle files in both
transcript-coordinate and genomic-coordinate. Genomic-coordinate files
can be visualized by both UCSC Genome browser and Broad Institute’s
Integrative Genomics Viewer (IGV). Transcript-coordinate files can be
visualized by IGV. RSEM also has its own scripts to generate transcript
read depth plots in pdf format. The unique feature of RSEM is, the read
depth plots can be stacked, with read depth contributed to unique reads
shown in black and contributed to multi-reads shown in red. In addition,
models learned from data can also be visualized. Last but not least,
RSEM contains a simulator.
Description-md5:
Homepage: https://deweylab.github.io/RSEM/
Section: science
Priority: optional
Filename: pool/main/r/rsem/rsem_1.3.3+dfsg-3_amd64.deb