MPA Portable
MPA Portable analyzes mass spectrometry-based metaproteomics data to identify, group, and annotate proteins from multispecies samples for taxonomic and functional interpretation.
Key Features:
- Portability and database independence: Operates independently of relational database systems to enable deployment across different computational environments.
- Support for advanced database search engines: Incorporates state-of-the-art database search engines for protein identification and supports high-performance data processing.
- Two-step workflow and result combination: Implements a two-step workflow that combines search engine results to increase protein identification yield and performs postprocessing for protein grouping, taxonomic annotation, and functional annotation.
- Adherence to data standards: Conforms to established data standards for metaproteomic research to promote consistency and interoperability.
- Integration with web-based workflows: Designed for integration into web-based workflow platforms to support diverse computational pipelines.
Scientific Applications:
- Metaproteomic profiling: Analyzing complex protein data from multispecies samples to determine taxonomic and functional composition.
- Microbial community analysis: Profiling protein-level composition and function of microbial communities.
- Environmental monitoring: Assessing proteomic signatures for environmental and ecosystem studies.
- Host–microbe interaction studies: Investigating protein-level interactions between hosts and associated microbes.
Methodology:
Uses advanced database search engines and a two-step workflow that combines search results and applies postprocessing for protein grouping, taxonomic annotation, and functional annotation.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java, Python
- Added:
- 7/15/2018
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Sequence analysis
Publications
Muth T, Kohrs F, Heyer R, Benndorf D, Rapp E, Reichl U, Martens L, Renard BY. MPA Portable: A Stand-Alone Software Package for Analyzing Metaproteome Samples on the Go. Analytical Chemistry. 2017;90(1):685-689. doi:10.1021/acs.analchem.7b03544. PMID:29215871. PMCID:PMC5757220.
PMID: 29215871
PMCID: PMC5757220
Funding: - National Cancer Institute: 1U24CA199347
- Deutsche Forschungsgemeinschaft: RE3474/2-1