multiplierz: an extensible API based desktop environment for proteomics data analysis |
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| Authors: | Jignesh R Parikh Manor Askenazi Scott B Ficarro Tanya Cashorali James T Webber Nathaniel C Blank Yi Zhang and Jarrod A Marto |
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| Institution: | (1) Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02115, USA;(2) Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, 44 Binney Street, Smith 1158A, Boston, MA 02115-6084, USA;(3) Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA;(4) Department of Biological Chemistry, The Hebrew University of Jerusalem, Jerusalem, 91904, Israel |
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| Abstract: | Background Efficient analysis of results from mass spectrometry-based proteomics experiments requires access to disparate data types,
including native mass spectrometry files, output from algorithms that assign peptide sequence to MS/MS spectra, and annotation
for proteins and pathways from various database sources. Moreover, proteomics technologies and experimental methods are not
yet standardized; hence a high degree of flexibility is necessary for efficient support of high- and low-throughput data analytic
tasks. Development of a desktop environment that is sufficiently robust for deployment in data analytic pipelines, and simultaneously
supports customization for programmers and non-programmers alike, has proven to be a significant challenge. |
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