How to Install and Uninstall kaptive Package on Kali Linux

Last updated: May 18,2024

1. Install "kaptive" package

In this section, we are going to explain the necessary steps to install kaptive on Kali Linux

$ sudo apt update $ sudo apt install kaptive

2. Uninstall "kaptive" package

This guide let you learn how to uninstall kaptive on Kali Linux:

$ sudo apt remove kaptive $ sudo apt autoclean && sudo apt autoremove

3. Information about the kaptive package on Kali Linux

Package: kaptive
Version: 2.0.8-1
Installed-Size: 110
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-biopython, python3:any, ncbi-blast+
Suggests: kaptive-data, kaptive-example
Size: 24188
SHA256: 9e5ece4eaf78e51a62d40444540f63ab4cd3f06f12df8f4bd66367c81efcb421
SHA1: bf2a202ffe6c53d5ed574e9a71de5fa1598b1b37
MD5sum: 0545c5c45b76146831965f1f73713093
Description: obtain information about K and O types for Klebsiella genome assemblies
Kaptive reports information about K and O types for Klebsiella genome
assemblies.
.
Given a novel genome and a database of known loci (K or O), Kaptive will
help a user to decide whether their sample has a known or novel locus.
It carries out the following for each input assembly:
.
* BLAST for all known locus nucleotide sequences (using blastn) to
identify the best match ('best' defined as having the highest
coverage).
* Extract the region(s) of the assembly which correspond to the BLAST
hits (i.e. the locus sequence in the assembly) and save it to a
FASTA file.
* BLAST for all known locus genes (using tblastn) to identify which
expected genes (genes in the best matching locus) are present/missing
and whether any unexpected genes (genes from other loci) are present.
* Output a summary to a table file.
.
In cases where your input assembly closely matches a known locus,
Kaptive should make that obvious. When your assembly has a novel type,
that too should be clear. However, Kaptive cannot reliably extract or
annotate locus sequences for totally novel types - if it indicates a
novel locus is present then extracting and annotating the sequence is up
to you! Very poor assemblies can confound the results, so be sure to
closely examine any case where the locus sequence in your assembly is
broken into multiple pieces.
Description-md5:
Homepage: https://github.com/katholt/Kaptive
Section: science
Priority: optional
Filename: pool/main/k/kaptive/kaptive_2.0.8-1_all.deb