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Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations
[Image: see text] 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 dat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243107/ https://www.ncbi.nlm.nih.gov/pubmed/37116187 http://dx.doi.org/10.1021/acs.jproteome.2c00803 |
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author | Porcheddu, Massimo Abbondio, Marcello De Diego, Laura Uzzau, Sergio Tanca, Alessandro |
author_facet | Porcheddu, Massimo Abbondio, Marcello De Diego, Laura Uzzau, Sergio Tanca, Alessandro |
author_sort | Porcheddu, Massimo |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-10243107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102431072023-06-07 Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations Porcheddu, Massimo Abbondio, Marcello De Diego, Laura Uzzau, Sergio Tanca, Alessandro J Proteome Res [Image: see text] 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. American Chemical Society 2023-04-28 /pmc/articles/PMC10243107/ /pubmed/37116187 http://dx.doi.org/10.1021/acs.jproteome.2c00803 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Porcheddu, Massimo Abbondio, Marcello De Diego, Laura Uzzau, Sergio Tanca, Alessandro Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations |
title | Meta4P: A
User-Friendly Tool to Parse Label-Free Quantitative
Metaproteomic Data and Taxonomic/Functional Annotations |
title_full | Meta4P: A
User-Friendly Tool to Parse Label-Free Quantitative
Metaproteomic Data and Taxonomic/Functional Annotations |
title_fullStr | Meta4P: A
User-Friendly Tool to Parse Label-Free Quantitative
Metaproteomic Data and Taxonomic/Functional Annotations |
title_full_unstemmed | Meta4P: A
User-Friendly Tool to Parse Label-Free Quantitative
Metaproteomic Data and Taxonomic/Functional Annotations |
title_short | Meta4P: A
User-Friendly Tool to Parse Label-Free Quantitative
Metaproteomic Data and Taxonomic/Functional Annotations |
title_sort | meta4p: a
user-friendly tool to parse label-free quantitative
metaproteomic data and taxonomic/functional annotations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243107/ https://www.ncbi.nlm.nih.gov/pubmed/37116187 http://dx.doi.org/10.1021/acs.jproteome.2c00803 |
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