Complete Guide: Installing qcat on Ubuntu 20.10 (Groovy Gorilla) 2024

1. Install "qcat" package

Please follow the guidelines below to install qcat on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the step by step instructions below to uninstall qcat on Ubuntu 20.10 (Groovy Gorilla):


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

Package: qcat
Architecture: all
Version: 1.1.0-2
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: 269
Depends: python3-biopython, python3-parasail (>= 1.2-3), python3-six, python3-yaml, python3:any
Suggests: qcat-examples
Filename: pool/universe/q/qcat/qcat_1.1.0-2_all.deb
Size: 31060
MD5sum: 522e17a2db46538f815480b8e37e7aa1
SHA1: d682aabd833c5089b1bd0b17cec12bbdfc61d63c
SHA256: 62c27e12e0a4cc06ee7b91966d75ddbb91fdd4768e2543efa97274ebd7c89582
SHA512: d368e6139a5ef41a7843e70ab93fd50087da6bd1e9928f8b4455390bb88288792451da501d1de44b45a661cd3c16f7e764f5febfc2920976ff3b9d7a728bdaac
Homepage: https://github.com/nanoporetech/qcat
Description-en: demultiplexing Oxford Nanopore reads from FASTQ files
Qcat is a command-line tool for demultiplexing Oxford Nanopore reads
from FASTQ files. It accepts basecalled FASTQ files and splits the reads
into separate FASTQ files based on their barcode. Qcat makes the
demultiplexing algorithms used in albacore/guppy and EPI2ME available to
be used locally with FASTQ files. Currently qcat implements the EPI2ME
algorithm.
Description-md5: 588163e2b3c7f4f3fea3c2058be2c26b