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fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing
SUMMARY: Fastlin is a bioinformatics tool designed for rapid Mycobacterium tuberculosis complex (MTBC) lineage typing. It utilizes an ultra-fast alignment-free approach to detect previously identified barcode single nucleotide polymorphisms associated with specific MTBC lineages. In a comprehensive...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627351/ https://www.ncbi.nlm.nih.gov/pubmed/37871178 http://dx.doi.org/10.1093/bioinformatics/btad648 |
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author | Derelle, Romain Lees, John Phelan, Jody Lalvani, Ajit Arinaminpathy, Nimalan Chindelevitch, Leonid |
author_facet | Derelle, Romain Lees, John Phelan, Jody Lalvani, Ajit Arinaminpathy, Nimalan Chindelevitch, Leonid |
author_sort | Derelle, Romain |
collection | PubMed |
description | SUMMARY: Fastlin is a bioinformatics tool designed for rapid Mycobacterium tuberculosis complex (MTBC) lineage typing. It utilizes an ultra-fast alignment-free approach to detect previously identified barcode single nucleotide polymorphisms associated with specific MTBC lineages. In a comprehensive benchmarking against existing tools, fastlin demonstrated high accuracy and significantly faster running times. AVAILABILITY AND IMPLEMENTATION: fastlin is freely available at https://github.com/rderelle/fastlin and can easily be installed using Conda. |
format | Online Article Text |
id | pubmed-10627351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106273512023-11-07 fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing Derelle, Romain Lees, John Phelan, Jody Lalvani, Ajit Arinaminpathy, Nimalan Chindelevitch, Leonid Bioinformatics Applications Note SUMMARY: Fastlin is a bioinformatics tool designed for rapid Mycobacterium tuberculosis complex (MTBC) lineage typing. It utilizes an ultra-fast alignment-free approach to detect previously identified barcode single nucleotide polymorphisms associated with specific MTBC lineages. In a comprehensive benchmarking against existing tools, fastlin demonstrated high accuracy and significantly faster running times. AVAILABILITY AND IMPLEMENTATION: fastlin is freely available at https://github.com/rderelle/fastlin and can easily be installed using Conda. Oxford University Press 2023-10-23 /pmc/articles/PMC10627351/ /pubmed/37871178 http://dx.doi.org/10.1093/bioinformatics/btad648 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Derelle, Romain Lees, John Phelan, Jody Lalvani, Ajit Arinaminpathy, Nimalan Chindelevitch, Leonid fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing |
title | fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing |
title_full | fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing |
title_fullStr | fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing |
title_full_unstemmed | fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing |
title_short | fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing |
title_sort | fastlin: an ultra-fast program for mycobacterium tuberculosis complex lineage typing |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627351/ https://www.ncbi.nlm.nih.gov/pubmed/37871178 http://dx.doi.org/10.1093/bioinformatics/btad648 |
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