multiplierz

multiplierz provides access to native mass spectrometry files and enables customizable analysis and reporting of mass spectrometry-based proteomics data to support biological annotation, technology development, and standards-compliant data distribution with mzAPI, mzResults, and the Philadelphia Guidelines.


Key Features:

  • Access to Native Mass Spectrometry Files: Integrates a prototype mzAPI for direct access to proprietary mass spectrometry file formats.
  • Customization and Extensibility: Exposes functionality via high-level Python scripts to enable custom algorithm development and deployment of high-throughput pipelines.
  • Data Analysis and Reporting: Produces information-rich, portable spreadsheet-based reports for dissemination and result inspection.
  • Integration with mzResults Viewer: Interoperates with mzResults, an interactive viewer built on established database standards, to support result interrogation and compliance with the Philadelphia Guidelines.
  • Support for Biological Annotation and Technology Development: Facilitates analyses used in technology development and biological annotation workflows in mass spectrometry-based proteomics.

Scientific Applications:

  • Rapid Validation and Review: Enables rapid validation and review of mass spectrometry results through access to original data files and report generation.
  • Standards-Compliant Data Submission and Distribution: Supports packaging and distribution of proteomics results compatible with mzResults and submission standards such as the Philadelphia Guidelines.
  • Technology Development and Biological Annotation: Supports method development and annotation workflows by linking analytical results with native instrument data.

Methodology:

Direct native file access via a prototype mzAPI, extensibility through high-level Python scripting, and interoperability with the mzResults interactive viewer built on database standards.

Topics

Collections

Details

License:
LGPL-3.0
Tool Type:
desktop application
Operating Systems:
Windows
Programming Languages:
Python
Added:
1/17/2017
Last Updated:
3/26/2019

Operations

Publications

Askenazi M, Parikh JR, Marto JA. mzAPI: a new strategy for efficiently sharing mass spectrometry data. Nature Methods. 2009;6(4):240-241. doi:10.1038/nmeth0409-240. PMID:19333238. PMCID:PMC2691659.

Webber JT, Askenazi M, Marto JA. mzResults: An Interactive Viewer for Interrogation and Distribution of Proteomics Results. Molecular & Cellular Proteomics. 2011;10(5):M110.003970. doi:10.1074/mcp.m110.003970. PMID:21266631. PMCID:PMC3098584.

Parikh JR, Askenazi M, Ficarro SB, Cashorali T, Webber JT, Blank NC, Zhang Y, Marto JA. multiplierz: an extensible API based desktop environment for proteomics data analysis. BMC Bioinformatics. 2009;10(1). doi:10.1186/1471-2105-10-364. PMID:19874609. PMCID:PMC2774704.

Documentation

Downloads

Links

Software catalogue
http://ms-utils.org