Related Experiment Video
Updated: Aug 12, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters
Cameron L M Gilchrist1, Thomas J Booth1, Bram van Wersch2
1School of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia.
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.
More Related Videos
10:40Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
Published on: December 22, 2017
12:42Fluorescence-microscopy Screening and Next-generation Sequencing: Useful Tools for the Identification of Genes Involved in Organelle Integrity
Published on: April 13, 2012