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Proteomics. 2017 Aug;17(15-16). doi: 10.1002/pmic.201700091.

multiplierz v2.0: A Python-based ecosystem for shared access and analysis of native mass spectrometry data.

Author information

1
Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA, USA.
2
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
3
Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.
4
Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Abstract

The continued evolution of modern mass spectrometry instrumentation and associated methods represents a critical component in efforts to decipher the molecular mechanisms which underlie normal physiology and understand how dysregulation of biological pathways contributes to human disease. The increasing scale of these experiments combined with the technological diversity of mass spectrometers presents several challenges for community-wide data access, analysis, and distribution. Here we detail a redesigned version of multiplierz, our Python software library which leverages our common application programming interface (mzAPI) for analysis and distribution of proteomic data. New features include support for a wider range of native mass spectrometry file types, interfaces to additional database search engines, compatibility with new reporting formats, and high-level tools to perform post-search proteomic analyses. A GUI desktop environment, mzDesktop, provides access to multiplierz functionality through a user friendly interface. multiplierz is available for download from: https://github.com/BlaisProteomics/multiplierz; and mzDesktop is available for download from: https://sourceforge.net/projects/multiplierz/.

KEYWORDS:

Application programming interface (API); Python

PMID:
28686798
DOI:
10.1002/pmic.201700091
[Indexed for MEDLINE]

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