The Multiplierz Proteomics Library
multiplierz is a Python software library and associated GUI desktop environment for managing proteomic mass spectrometry workflows and data analysis. Using the mzAPI interface to native instrument data formats, multiplierz is provides a complete toolset for a variety of methods for peptide identification, quantitation, and experimental reporting.
The mzDesktop GUI application can be found at our Sourceforge page.
Native, Open-Source Python Codebase
multiplierz is written for and in Python 2.7, a mature and user-friendly language that is becoming a standard for scientific data analysis, and is fully open-source. This allows researchers with programming experience full freedom in customizing and improving the multiplierz library for individual, novel use cases. We expect multiplierz capabilities to grow alongside the rapid developments in the field of computational proteomics.
mzAPI Data Interface
Typical proteomic bioinformtics workflows use tools such as ProteoWizard to first convert native instrument data into a text-based XML format such as mzML or mzXML; for high-throughput experiments, this entails substantial demands in terms of data processing, storage, and organization. Instead, multiplierz offers fully transparent access to native instrument data through mzAPI, a standardized interface to Thermo, AB Sciex, and Agilent machine data formats, as well as the universal mzML format.
mzSearch Database Search Interface
A key step in any proteomic workflow is peptide/protein identification, a sophisticated algorithmic problem solved by applications such as Mascot, Comet, and X! Tandem. To support routine bioinformatic workflows it is necessary to automate the operation of these programs, so multiplierz offers rich, programmatic access to the applications mentioned, with full support for the wide array of parameters requested by each, so that searches can be customized and initiated through elegant Python code.
mzDesktop GUI Interface
Not all biologists are computer scientists, so multiplierz provides a fully-graphical interface to most of its capabilities, including management of MGF and FASTA files, protein coverage visualization, and database search coordination.
Chromatographic Feature Detection, Quantitation Analysis, Intact Protein Charge Deconvolution, and more...
8/22/2017: The paper on multiplierz's 2.0 release has been published in Proteomics.
5/22/2017: The 2.0 release edition of multiplierz is pending publication! We will update here as features are added, bugs are fixed, etc.
If you use multiplierz in an academic publication, please cite us:
Alexander, William M., et al. "multiplierz v2. 0: a Python‐based ecosystem for shared access and analysis of native mass spectrometry data." Proteomics (2017).
Contact the Author
Questions related to use and modification of the multiplierz library should be referred to W. Max Alexander at williamM_alexander@dfci.harvard.edu.