ArticleAnalytical chemistry2018
MPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go.
Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
27 citing papers in PubMed.
- From functional annotation to functional meaning in microbiome research.Environmental microbiome · 2026Review
- Taxonomic-Level Protein Quantification in Metaproteomics Using a Biomass-Constrained Expectation-Maximization Approach.Journal of the American Society for Mass Spectrometry · 2026Article
- Ocean-M: an integrated global-scale multi-omics database for marine microbial diversity, function and ecological interactions.Nucleic acids research · 2026Article
- Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm.Journal of proteome research · 2025Article
- Detergent Screening With Hybrid Detergents Increases Observable Number of Protein Identities in Bottom-Up Proteomics.Proteomics · 2025Article
- Moving Toward Metaproteogenomics: A Computational Perspective on Analyzing Microbial Samples via Proteogenomics.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Article
- Multiomics data integration, limitations, and prospects to reveal the metabolic activity of the coral holobiont.FEMS microbiology ecology · 2024Review
- AnimalMetaOmics: a multi-omics data resources for exploring animal microbial genomes and microbiomes.Nucleic acids research · 2024Article
- Bioinformatic Workflows for Metaproteomics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Biodiversity Analysis of Metaproteomics Samples with Unipept: A Comprehensive Tutorial.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations.Journal of proteome research · 2023Article
- Data-independent acquisition boosts quantitative metaproteomics for deep characterization of gut microbiota.NPJ biofilms and microbiomes · 2023Article
- Taxonomical composition and functional analysis of biofilms sampled from a nuclear storage pool.Frontiers in microbiology · 2023Article
- Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Harnessing microbial wealth for lignocellulose biomass valorization through secretomics: a review.Biotechnology for biofuels · 2021Review
- Review
- Microbiota and Ocular Diseases.Frontiers in cellular and infection microbiology · 2021Review
- Bottom-Up Community Proteome Analysis of Saliva Samples and Tongue Swabs by Data-Dependent Acquisition Nano LC-MS/MS Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2021Article
- A complete and flexible workflow for metaproteomics data analysis based on MetaProteomeAnalyzer and Prophane.Nature protocols · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Metaproteomics, the mass spectrometry-based analysis of proteins from multispecies samples faces severe challenges concerning data analysis and results interpretation. To overcome these shortcomings, we here introduce the MetaProteomeAnalyzer (MPA) Portable software. In contrast to the original server-based MPA application, this newly developed tool no longer requires computational expertise for installation and is now independent of any relational database system. In addition, MPA Portable now supports state-of-the-art database search engines and a convenient command line interface for high-performance data processing tasks. While search engine results can easily be combined to increase the protein identification yield, an additional two-step workflow is implemented to provide sufficient analysis resolution for further postprocessing steps, such as protein grouping as well as taxonomic and functional annotation. Our new application has been developed with a focus on intuitive usability, adherence to data standards, and adaptation to Web-based workflow platforms. The open source software package can be found at https://github.com/compomics/meta-proteome-analyzer .
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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.