Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.08.370601v1?rss=1 Authors: Gilchrist, C. L. M., Booth, T. J., Chooi, Y.-H. H. Abstract: Genes involved in coordinated biological pathways, including metabolism, drug resistance and virulence, are often collocalised 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. 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 (GUI). It generates outputs that enable intuitive visualisations of large datasets, and can be readily incorporated into larger bioinformatic pipelines. cblaster is a significant update to the comparative genomics toolbox. cblaster source code and documentation is freely available from GitHub under the MIT license (https://www.github.com/gamcil/cblaster). Copy rights belong to original authors. Visit the link for more info