Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations

J Proteome Res. 2023 Jun 2;22(6):2109-2113. doi: 10.1021/acs.jproteome.2c00803. Epub 2023 Apr 28.

Abstract

We present Meta4P (MetaProteins-Peptides-PSMs Parser), an easy-to-use bioinformatic application designed to integrate label-free quantitative metaproteomic data with taxonomic and functional annotations. Meta4P can retrieve, filter, and process identification and quantification data from three levels of inputs (proteins, peptides, PSMs) in different file formats. Abundance data can be combined with taxonomic and functional information and aggregated at different and customizable levels, including taxon-specific functions and pathways. Meta4P output tables, available in various formats, are ready to be used as inputs for downstream statistical analyses. This user-friendly tool is expected to provide a useful contribution to the field of metaproteomic data analysis, helping make it more manageable and straightforward.

Keywords: bioinformatics; functional annotation; label-free quantification; metaproteomics; proteomic data analysis; spectral counting; taxonomic annotation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Peptides
  • Proteins* / analysis
  • Software*

Substances

  • Proteins
  • Peptides