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

Last updated: November 26,2024

1. Install "presto" package

This guide let you learn how to install presto on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install presto

2. Uninstall "presto" package

Please follow the instructions below to uninstall presto on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove presto $ sudo apt autoclean && sudo apt autoremove

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

Package: presto
Architecture: all
Version: 0.6.2-1
Priority: optional
Section: universe/python
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 366
Depends: python3:any, python3-presto
Breaks: python3-presto (<= 0.6.0-1)
Replaces: python3-presto (<= 0.6.0-1)
Filename: pool/universe/p/presto/presto_0.6.2-1_all.deb
Size: 65172
MD5sum: ba1b512c9c48645f99dc4345036f3847
SHA1: 6518fffae64835286fd04c5fab5d85ba9110a40d
SHA256: 2cca403048467298eb086fb8df118717287e7b192fb375925d6185614287b82e
SHA512: 2d17940a02a7bb5eb8c8f81b4393e5aeb17011d0ee6c005a1ea77830b0fc21ffdc9d587e41e570e736d98643e4af2c05c85b4de9b80793199389bafa8a8cbb9c
Homepage: https://presto.readthedocs.io
Description-en: toolkit for processing B and T cell sequences
pRESTO is a toolkit for processing raw reads from high-throughput
sequencing of B cell and T cell repertoires.
.
Dramatic improvements in high-throughput sequencing technologies now
enable large-scale characterization of lymphocyte repertoires, defined
as the collection of trans-membrane antigen-receptor proteins located on
the surface of B cells and T cells. The REpertoire Sequencing TOolkit
(pRESTO) is composed of a suite of utilities to handle all stages
of sequence processing prior to germline segment assignment. pRESTO
is designed to handle either single reads or paired-end reads. It
includes features for quality control, primer masking, annotation of
reads with sequence embedded barcodes, generation of unique molecular
identifier (UMI) consensus sequences, assembly of paired-end reads and
identification of duplicate sequences. Numerous options for sequence
sorting, sampling and conversion operations are also included.
Description-md5: 1df336b8ef4efca6890d5fff54328f94