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

Last updated: May 17,2024

1. Install "seer" package

Please follow the steps below to install seer on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the guidance below to uninstall seer on Ubuntu 20.10 (Groovy Gorilla):


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

Package: seer
Architecture: amd64
Version: 1.1.4-3
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: 4989
Depends: libarmadillo9 (>= 1:9.800.4+dfsg), libblas3 | libblas.so.3, libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgzstream0 (>= 1.5+dfsg), libhdf5-103-1, libstdc++6 (>= 9), zlib1g (>= 1:1.1.4), libtext-csv-perl
Suggests: fsm-lite
Filename: pool/universe/s/seer/seer_1.1.4-3_amd64.deb
Size: 1191328
MD5sum: c0797fbb5470f9be0a0c6bf96a8c786f
SHA1: b0bbfe57789194d6ab3cfe8e3c73e94ffa967261
SHA256: 77a53fea1f64dd685b2e169978a51b5e0577d93e61111ed91fcb729fdc77bad4
SHA512: df87436437f3545e3061b4bb891722d723958942668c6b776ba37fc773395bb54dbcf6c51db1191c4e02cc19107f7f9b24fa93da0a69f55b1dce8b9595dff9e5
Homepage: https://github.com/johnlees/seer
Description-en: genomic sequence element (kmer) enrichment analysis
Bacterial genomes vary extensively in terms of both gene content and
gene sequence - this plasticity hampers the use of traditional SNP-based
methods for identifying all genetic associations with phenotypic
variation. SEER provides a computationally scalable and widely
applicable statistical method for the identification of sequence
elements that are significantly enriched in a phenotype of interest.
SEER is applicable to even tens of thousands of genomes by counting variable-
length k-mers using a distributed string-mining algorithm. Robust
options are provided for association analysis that also correct for the
clonal population structure of bacteria. Using large collections of
genomes of the major human pathogen Streptococcus pneumoniae, SEER
identifies relevant previously characterised resistance determinants for
several antibiotics.
Description-md5: 979255ced90d884824e6cb3db05419ed