Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

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

Articolo
Data di Pubblicazione:
2023
Citazione:
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.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
bioinformatics; functional annotation; label-free quantification; metaproteomics; proteomic data analysis; spectral counting; taxonomic annotation
Elenco autori:
Porcheddu, Massimo; Abbondio, Marcello; De Diego, Laura; Uzzau, Sergio; Tanca, Alessandro
Autori di Ateneo:
TANCA Alessandro
UZZAU Sergio
Link alla scheda completa:
https://iris.uniss.it/handle/11388/309209
Pubblicato in:
JOURNAL OF PROTEOME RESEARCH
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.9.2.0