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An alignment-independent tool for the study of pathogen sequence diversity at any given rank of taxonomy lineage

Project description

UNIQmin: An alignment-independent tool for the study of pathogen sequence diversity at any given rank of taxonomy lineage

DOI - 10.3390/biology10090853 ChongLC - MinimalSetofViralPeptidome-UNIQmin stars - MinimalSetofViralPeptidome-UNIQmin forks - MinimalSetofViralPeptidome-UNIQmin License

Brief Description

Sequence variation among pathogens, even of a single amino acid, can expand their host repertoire or enhance the infection ability. Alignment independent approach represents an alternative approach to the study of pathogen diversity, which is devoid of the need for sequence conservation to perform comparative analyses. Herein, we present UNIQmin, a tool that utilises an alignment independent method to generate the minimal set of pathogen sequences, as a way to study their diversity, across any rank of taxonomic lineage. The minimal set refers to the smallest possible number of sequences required to capture the entire repertoire of pathogen peptidome diversity present in a sequence dataset.

Installation

pip install uniqmin

Upgrade installed UNIQmin

pip install uniqmin --upgrade

Usage

uniqmin [-h] [-i INPUT] [-o OUTPUT] [-k [KMERLENGTH]] [-cpu [CPUSIZE]]

For example, UNIQmin tool is applied to generate a minimal set (example) with a sample input file (exampleinput.fas). A k-mer window size of nine (9; nonamer) is used with utilising 14-cores.

uniqmin -i exampleinput.fas -o example -k 9 -cpu 14

Command-line Arguments

Argument Parameter Type Required Default Description
-h help N/A FALSE N/A Show this help message and exit
-i sequence input file String TRUE N/A Path of the input file (in FASTA format)
-o output directory name String TRUE N/A Path of the output file to be created
-k k-mer window size Integer FALSE 9 The length of k-mers to be used
-cpu cpu size Integer FALSE 14 The number of CPU cores to be used

For more information, please visit UNIQmin GitHub page.

License

© 2021 Chong LC

This repository is licensed under the MIT license. See LICENSE for details.

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