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metaLoc: protein localisation prediction workflow

Articolo
Data di Pubblicazione:
2026
Citazione:
metaLoc: protein localisation prediction workflow / C.J.R. Scott, S.C.. - In: BIOINFORMATICS ADVANCES. - ISSN 2635-0041. - 6:1(2026), pp. vbag169.1-vbag169.5. [Epub ahead of print] [10.1093/bioadv/vbag169]
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 utilizing isolated Conda environments for reproducibility. An archived version of this release is permanently available at Zenodo (https://doi.org/10.5281/zenodo.18936772).
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
C.J.R. Scott, S. Caccia
Autori di Ateneo:
CACCIA SILVIA ( autore )
SCOTT CONOR JAMES RICHARD ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/1259776
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/1259776/3367414/vbag169.pdf
Progetto:
Exploiting Hermetia illucens larvae microbiome for plastics degradation: a circular process to counteract plastic pollution (HilluSION)
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Settore BIOS-03/A - Zoologia
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