metaLoc: protein localisation prediction workflow.

Authors

Conor J R Scott, Silvia Caccia

Published in

Bioinformatics advances. Volume 6. Issue 1. Pages vbag169. Epub Jun 19, 2026.

Abstract

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.
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 utilizing isolated Conda environments for reproducibility. An archived version of this release is permanently available at Zenodo (https://doi.org/10.5281/zenodo.18936772).

PMID:
42405192
Bibliographic data and abstract were imported from PubMed on 06 Jul 2026.

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