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Cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters.


ABSTRACT:

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.

SUBMITTER: Gilchrist CLM 

PROVIDER: S-EPMC9710679 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters.

Gilchrist Cameron L M CLM   Booth Thomas J TJ   van Wersch Bram B   van Grieken Liana L   Medema Marnix H MH   Chooi Yit-Heng YH  

Bioinformatics advances 20210805 1


<h4>Motivation</h4>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.<h4>Results</h4>Here, we present cblaster, a Python-bas  ...[more]

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