metaLoc: Protein localisation prediction workflow

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ID: 318340
2026
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Abstract
Abstract 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 An archived version of this release is permanently available at Zenodo (https://doi.org/10.5281/zenodo.18936772).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.
Reference Key
openalex_W7165527246 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Conor J R Scott, Silvia Caccia
Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag169
URL
https://doi.org/10.1093/bioadv/vbag169
Keywords Keywords not found

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