How to Install and Uninstall uc-echo Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 24,2024

1. Install "uc-echo" package

Please follow the guidance below to install uc-echo on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                uc-echo
            
                    
    
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2. Uninstall "uc-echo" package

Please follow the step by step instructions below to uninstall uc-echo on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                uc-echo
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the uc-echo package on Ubuntu 21.10 (Impish Indri)

Package: uc-echo
Architecture: amd64
Version: 1.12-15build1
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: 370
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), python3:any, python3-scipy
Filename: pool/universe/u/uc-echo/uc-echo_1.12-15build1_amd64.deb
Size: 75420
MD5sum: d730c654ab52c44ef1a4de566cbff3a3
SHA1: 0565bfa8a3499b678caa22bf92edf8e8be4f4303
SHA256: f8b5c61fa9aaf8ad6c2feb3b8e2ff7bfac328518ee0cfc1abe0a40a6140142b4
SHA512: aa2e7df77e4af72e063c6488d0678f8959429eb13a4a9a17ca32922a45e8e8e6268b2a4311bcccf86a8cdc89beac92fb17f9fdf36fb45ae9191be2990ab5dafb
Homepage: http://uc-echo.sourceforge.net/
Description-en: error correction algorithm designed for short-reads from NGS
ECHO is an error correction algorithm designed for short-reads
from next-generation sequencing platforms such as Illumina's
Genome Analyzer II. The algorithm uses a Bayesian framework to
improve the quality of the reads in a given data set by employing
maximum a posteriori estimation.
Description-md5: 2b8d605b1e0d9655e1b24a1bc58abf3f