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

Last updated: May 18,2024

1. Install "rsem" package

Here is a brief guide to show you how to install rsem on Ubuntu 20.10 (Groovy Gorilla)


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

In this section, we are going to explain the necessary steps to uninstall rsem on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 Ubuntu 20.10 (Groovy Gorilla)

Package: rsem
Architecture: amd64
Version: 1.3.3+dfsg-1
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: 37194
Depends: libc6 (>= 2.15), libgcc-s1 (>= 3.0), libhts3 (>= 1.10), libstdc++6 (>= 9), perl:any, r-base-core, bowtie | bowtie2, python3
Suggests: r-bioc-ebseq, hisat2
Filename: pool/universe/r/rsem/rsem_1.3.3+dfsg-1_amd64.deb
Size: 36141252
MD5sum: eef68033b67716a7f8459c424c4bd9a7
SHA1: 46e7732f84218c0bfbe8614420c9334b30142f47
SHA256: beb13710e7b4e5e0381a4d864114377c426b3a236cfaabde956e24851542d90e
SHA512: 88ae864fa2c23bf5c149caab75eece2078a8615ae5a8ce4a772ef64a80e16f6b5d5c62978e3fd0dfd37667ce7ab0223ae43825bd025a9908a301e64071ed2531
Homepage: http://deweylab.github.io/RSEM/
Description-en: 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: 20ba6f1e1adc3851b48029310a06b4ed