How to Install and Uninstall e-mem Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 21,2024

1. Install "e-mem" package

Please follow the step by step instructions below to install e-mem on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                e-mem
            
                    
    
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2. Uninstall "e-mem" package

This is a short guide on how to uninstall e-mem on Ubuntu 20.10 (Groovy Gorilla):


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

Package: e-mem
Architecture: amd64
Version: 1.0.1-2build1
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: 110
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2)
Enhances: mummer
Filename: pool/universe/e/e-mem/e-mem_1.0.1-2build1_amd64.deb
Size: 35448
MD5sum: ca311f643de445cc3f9712ea66a84420
SHA1: 98578d8d9a08711a296a819429e789a3eee01f2b
SHA256: 50adf8d65825f6f1885cf1ec4745c26e867d79b60bae828be871ac1a385e080e
SHA512: 43ab0ec9e0e44e42eabe286eddeec54a9f3b49a7355dc689f170bbe42792a5151763606102bbd092e539b6a631f13084dd89aea965b32718e0ef7d5511ba6993
Homepage: http://www.csd.uwo.ca/~ilie/E-MEM/
Description-en: Efficient computation of Maximal Exact Matches for very large genomes
E-MEM enables efficient computation of Maximal Exact Matches (MEMs) that
does not use full text indexes. The algorithm uses much less space and
is highly amenable to parallelization. It can compute all MEMs of
minimum length 100 between the whole human and mouse genomes on a 12
core machine in 10 min and 2 GB of memory; the required memory can be as
low as 600 MB. It can run efficiently genomes of any size. Extensive
testing and comparison with currently best algorithms is provided.
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Mummer has many different scripts where one of the key program is MEM
computation. In all the scripts, the MEM computation program can be
replaced with e-mem with ease for better performance.
Description-md5: a8d314b23e03422aaffd210350781251