multiplierz

multiplierz is a software tool and library with a graphical user interface (see links) for the analysis of mass-spectrometry data. multiplierz interfaces to many machine data formats, database search engines, and peptide data formats. multiplierz enables a wide range of data analyses, from technology development to biological annotation and mass spectrometry-based proteomics research.

Topic

Proteomics;Proteomics experiment;Data visualisation

Detail

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

  • Software interface: Graphical user interface, command-line user interface, library

  • Language: Python

  • License: GNU Lesser General Public License v3

  • Cost: Free

  • Version name: 2.x

  • Credit: Dana-Farber Cancer Institute, National Human Genome Research Institute, National Science Foundation Integrative Graduate Education.

  • Input: -

  • Output: -

  • Contact: jarrod_marto at dfci.harvard.edu

  • Collection: -

  • Maturity: Stable

Publications

  • multiplierz v2.0: A Python-based ecosystem for shared access and analysis of native mass spectrometry data.
  • Alexander WM, Ficarro SB, Adelmant G, Marto JA. multiplierz v2.0: A Python-based ecosystem for shared access and analysis of native mass spectrometry data. Proteomics. 2017 Aug;17(15-16). doi: 10.1002/pmic.201700091. PMID: 28686798.
  • https://doi.org/10.1002/pmic.201700091
  • PMID: 28686798
  • PMC: -
  • multiplierz: an extensible API based desktop environment for proteomics data analysis.
  • 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 Oct 29;10:364. doi: 10.1186/1471-2105-10-364. PMID: 19874609; PMCID: PMC2774704.
  • https://doi.org/10.1186/1471-2105-10-364
  • PMID: 19874609
  • PMC: PMC2774704

Download and documentation

< Back to DB search