How to Install and Uninstall sumaclust Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "sumaclust" package

In this section, we are going to explain the necessary steps to install sumaclust on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install sumaclust

2. Uninstall "sumaclust" package

In this section, we are going to explain the necessary steps to uninstall sumaclust on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove sumaclust $ sudo apt autoclean && sudo apt autoremove

3. Information about the sumaclust package on Ubuntu 21.10 (Impish Indri)

Package: sumaclust
Architecture: amd64
Version: 1.0.36+ds-1
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: 163
Depends: libc6 (>= 2.14), libgomp1 (>= 6), libsuma1 (>= 1.0.35)
Filename: pool/universe/s/sumaclust/sumaclust_1.0.36+ds-1_amd64.deb
Size: 103148
MD5sum: b08b0b6dfb2f43b9d2cafdc51ce76fec
SHA1: 07a0b3bb4d33286db6cb278f67088bd90500e49f
SHA256: f4ed95f582196e16cb6de6910834c8a45536fb3765702229fae0d906fd6c1ae6
SHA512: 2d4ff142bd44a3aecef78d304cdf40182b2886581d30f7e95e19ecc97740a59b17fc65c81657433921a9ebd9e066166741ee6f3f64088881e78424d5bd232b30
Homepage: http://metabarcoding.org/sumaclust
Description-en: fast and exact clustering of genomic sequences
With the development of next-generation sequencing, efficient tools are
needed to handle millions of sequences in reasonable amounts of time.
Sumaclust is a program developed by the LECA. Sumaclust aims to cluster
sequences in a way that is fast and exact at the same time. This tool
has been developed to be adapted to the type of data generated by DNA
metabarcoding, i.e. entirely sequenced, short markers. Sumaclust
clusters sequences using the same clustering algorithm as UCLUST and CD-
HIT. This algorithm is mainly useful to detect the 'erroneous' sequences
created during amplification and sequencing protocols, deriving from
'true' sequences.
Description-md5: 92d33f3cfb182b633a4760068fac6f82