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

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

Documentation