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
- Data handling
- Data retrieval
- Deisotoping
- Filtering
- Formatting
- Ion counting
- Label-free quantification
- Mass spectra calibration
- Parsing
- Peak detection
- Peptide database search
- Peptide identification
- Protein identification
- Protein quantification
- Query and retrieval
- Spectral analysis
- Validation of peptide-spectrum matches
- iTRAQ
- Chromatogram visualisation
- Mass spectrum visualisation
- Plotting
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.