metaLoc: Protein localisation prediction workflow
Conor J R Scott, Silvia CacciaAbstract
Summary
metaLoc combines existing tools for signal peptide, localisation, and transmembrane helices prediction from protein sequences into a workflow for rapid evaluation of protein datasets. By accepting both protein and nucleotide sequences, the workflow is especially suitable for in silico screening of the growing volumes of sequencing data. With a single command, metaLoc provides a simple, accessible, and user-friendly tool for the bioinformatic investigation of proteomic or metagenomic datasets.
Availability and implementation
metaLoc is freely available on the GitHub platform (https://github.com/scottc-bio/metaLoc). The metaLoc workflow is implemented in Nextflow with a modular design utilising isolated Conda environments for reproducibility. An archived version of this release is permanently available at Zenodo (https://doi.org/10.5281/zenodo.18936772).
Supplementary information
This manuscript was rendered from R markdown and the .Rmd file is available in Supplementary File 1.