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  1. Outputs

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

Academic Article
Publication Date:
2023
Short description:
Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations / Porcheddu, M., Abbondio, M., De Diego, L., Uzzau, S., Tanca, A.. - In: JOURNAL OF PROTEOME RESEARCH. - ISSN 1535-3907. - 22:6(2023), pp. 2109-2113. [10.1021/acs.jproteome.2c00803]
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.
Iris type:
1.1 Articolo in rivista
Keywords:
bioinformatics; functional annotation; label-free quantification; metaproteomics; proteomic data analysis; spectral counting; taxonomic annotation
List of contributors:
Porcheddu, Massimo; Abbondio, Marcello; De Diego, Laura; Uzzau, Sergio; Tanca, Alessandro
Authors of the University:
TANCA Alessandro
UZZAU Sergio
Handle:
https://iris.uniss.it/handle/11388/309209
Published in:
JOURNAL OF PROTEOME RESEARCH
Journal
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