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cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters
MOTIVATION: Genes involved in coordinated biological pathways, including metabolism, drug resistance and virulence, are often collocalized as gene clusters. Identifying homologous gene clusters aids in the study of their function and evolution, however, existing tools are limited to searching local...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710679/ https://www.ncbi.nlm.nih.gov/pubmed/36700093 http://dx.doi.org/10.1093/bioadv/vbab016 |
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author | Gilchrist, Cameron L M Booth, Thomas J van Wersch, Bram van Grieken, Liana Medema, Marnix H Chooi, Yit-Heng |
author_facet | Gilchrist, Cameron L M Booth, Thomas J van Wersch, Bram van Grieken, Liana Medema, Marnix H Chooi, Yit-Heng |
author_sort | Gilchrist, Cameron L M |
collection | PubMed |
description | MOTIVATION: Genes involved in coordinated biological pathways, including metabolism, drug resistance and virulence, are often collocalized as gene clusters. Identifying homologous gene clusters aids in the study of their function and evolution, however, existing tools are limited to searching local sequence databases. Tools for remotely searching public databases are necessary to keep pace with the rapid growth of online genomic data. RESULTS: Here, we present cblaster, a Python-based tool to rapidly detect collocated genes in local and remote databases. cblaster is easy to use, offering both a command line and a user-friendly graphical user interface. It generates outputs that enable intuitive visualizations of large datasets and can be readily incorporated into larger bioinformatic pipelines. cblaster is a significant update to the comparative genomics toolbox. AVAILABILITY AND IMPLEMENTATION: cblaster source code and documentation is freely available from GitHub under the MIT license (github.com/gamcil/cblaster). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9710679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97106792023-01-24 cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters Gilchrist, Cameron L M Booth, Thomas J van Wersch, Bram van Grieken, Liana Medema, Marnix H Chooi, Yit-Heng Bioinform Adv Original Paper MOTIVATION: Genes involved in coordinated biological pathways, including metabolism, drug resistance and virulence, are often collocalized as gene clusters. Identifying homologous gene clusters aids in the study of their function and evolution, however, existing tools are limited to searching local sequence databases. Tools for remotely searching public databases are necessary to keep pace with the rapid growth of online genomic data. RESULTS: Here, we present cblaster, a Python-based tool to rapidly detect collocated genes in local and remote databases. cblaster is easy to use, offering both a command line and a user-friendly graphical user interface. It generates outputs that enable intuitive visualizations of large datasets and can be readily incorporated into larger bioinformatic pipelines. cblaster is a significant update to the comparative genomics toolbox. AVAILABILITY AND IMPLEMENTATION: cblaster source code and documentation is freely available from GitHub under the MIT license (github.com/gamcil/cblaster). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2021-08-05 /pmc/articles/PMC9710679/ /pubmed/36700093 http://dx.doi.org/10.1093/bioadv/vbab016 Text en © The Author(s) 2021. 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 (http://creativecommons.org/licenses/by/4.0/ (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 | Original Paper Gilchrist, Cameron L M Booth, Thomas J van Wersch, Bram van Grieken, Liana Medema, Marnix H Chooi, Yit-Heng cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
title | cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
title_full | cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
title_fullStr | cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
title_full_unstemmed | cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
title_short | cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
title_sort | cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710679/ https://www.ncbi.nlm.nih.gov/pubmed/36700093 http://dx.doi.org/10.1093/bioadv/vbab016 |
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