ArticleJournal of proteome research2023
Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations.
Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metaproteomic portrait of the healthy human gut microbiota.NPJ biofilms and microbiomes · 2024Pooled it
- Reshaping of the fecal proteome and metaproteome in obese patients 2 years after bariatric surgery.mSystems · 2026Trial
- From functional annotation to functional meaning in microbiome research.Environmental microbiome · 2026Review
- Systematic evaluation of PASEF acquisition strategies in complex metaproteomes.Nature communications · 2026Article
- A human fecal metaproteomic dataset from celiac disease patients on gluten-free diet with or without poly-autoimmunity.Data in brief · 2026Article
- Article
- Fecal Metaproteomics as a Tool to Monitor Functional Modifications Induced in the Gut Microbiota by Ketogenic Diet: A Case Study.Proteomics · 2025Article
- Ultra-sensitive metaproteomics redefines the dark metaproteome, uncovering host-microbiome interactions and drug targets in intestinal diseases.Nature communications · 2025Article
- The microbiologist's guide to metaproteomics.iMeta · 2025Review
- Benchmarking low- and high-throughput protein cleanup and digestion methods for human fecal metaproteomics.mSystems · 2024Article
- Soil Metaproteomics for Microbial Community Profiling: Methodologies and Challenges.Current microbiology · 2024Review
- Article
- Increasing taxonomic and functional characterization of host-microbiome interactions by DIA-PASEF metaproteomics.Frontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.