How to Install and Uninstall e-mem Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 26,2024

1. Install "e-mem" package

This guide covers the steps necessary to install e-mem on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install e-mem

2. Uninstall "e-mem" package

This guide covers the steps necessary to uninstall e-mem on Ubuntu 21.04 (Hirsute Hippo):

$ sudo apt remove e-mem $ sudo apt autoclean && sudo apt autoremove

3. Information about the e-mem package on Ubuntu 21.04 (Hirsute Hippo)

Package: e-mem
Architecture: amd64
Version: 1.0.1-4
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: 106
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_1.0.1-4_amd64.deb
Size: 35248
MD5sum: a7cc45b15c7c8e6c7b3507b850439bfb
SHA1: f98974d3d587d9a63e77e19dad83a5f8effc5e1a
SHA256: d3bb35b4ba905bea6a0f8fc3adea0073fe50c7a1ca1f2506176d293d365f2b12
SHA512: ba859441d07038b2f52d3dad39348c7694921bf8ba66bfde2df306c3e55ad1f3a0d4f68b11aa18b2e2e975abd2a09d9315e8c61215219b5697cd74122e3b477c
Homepage: https://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.
.
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