OMSSA Parser

OMSSA Parser parses OMSSA (Open Mass Spectrometry Search Algorithm) omx result files and converts their MS/MS-derived data into Java object models to support mass spectrometry-based protein identification and downstream computational analyses.


Key Features:

  • OMSSA omx parsing: Parses OMSSA omx result files including MS/MS spectra and associated search results produced from proteome studies.
  • Support for gel-based and gel-free data: Handles omx files originating from both gel-based and gel-free proteome workflows.
  • Java-based implementation: Implemented in Java as a programmatic library to provide platform-independent manipulation of parsed data.
  • Object model conversion: Converts omx file contents into Java object models that expose protein identification and MS/MS data for programmatic access.
  • Data integration support: Facilitates integration of OMSSA results with other bioinformatics workflows and databases via programmatic access to parsed data.

Scientific Applications:

  • Protein Identification: Enables retrieval and analysis of OMSSA search results to support mass spectrometry-based protein identification in proteomics studies.
  • Integration with bioinformatics workflows: Allows OMSSA results to be incorporated into downstream analyses and combined with other databases and tools.
  • Downstream computational analyses: Provides programmatic access to parsed data for custom analysis, scoring, and result filtering within computational pipelines.

Methodology:

Reads and interprets the structured data within OMSSA omx result files and transforms that data into Java object models for programmatic access.

Topics

Collections

Details

Tool Type:
command-line tool, desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
5/17/2016
Last Updated:
11/25/2024

Operations

Publications

Barsnes H, Huber S, Sickmann A, Eidhammer I, Martens L. OMSSA Parser: An open‐source library to parse and extract data from OMSSA MS/MS search results. PROTEOMICS. 2009;9(14):3772-3774. doi:10.1002/pmic.200900037. PMID:19639591.

PMID: 19639591
Funding: - European Union: LSHG-CT-2006-036814

Documentation