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

Last updated: May 13,2024

1. Install "qcumber" package

This is a short guide on how to install qcumber on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the instructions below to uninstall qcumber on Ubuntu 20.10 (Groovy Gorilla):


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

Package: qcumber
Architecture: all
Version: 1.0.14+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: 168
Provides: qc-pipeline
Depends: python3:any (>= 3.3.2-2~), debconf (>= 0.5) | debconf-2.0, python3-jinja2, python3-matplotlib, python3-biopython, libjs-angularjs, libjs-bootstrap, libjs-d3, libjs-jquery, r-base-core, r-bioc-savr, r-cran-ggplot2, r-cran-quantreg
Conflicts: qc-pipeline
Replaces: qc-pipeline
Filename: pool/universe/q/qcumber/qcumber_1.0.14+dfsg-1_all.deb
Size: 36022
MD5sum: e69ba6dfeb6f434503de7d7f3d1ee97c
SHA1: e77a46a47d9ee2ef5415875bca41856125600c3a
SHA256: 23ac09aebf771ecc5bca2afa6fde2c2747088d4792fdfa27248ce56523b5dbaf
SHA512: b7b84e243609069a46b4867e1845beb274255412a2a1fe861be2d8b78705cde1234c0091e9d75cab8ba6fd4ca63445d4a222a67edb9c8fa84565ba4f79a70dda
Homepage: https://gitlab.com/RKIBioinformaticsPipelines/QCumber
Description-en: quality control of genomic sequences
QCPipeline is a tool for quality control. The workflow is as follows:
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1. Quality control with FastQC
2. Trim Reads with Trimmomatic
3. Quality control of trimmed reads with FastQC
4. Map reads against reference using bowtie2
5. Classify reads with Kraken
Description-md5: 380ba80499911de0a248a18cb1009872