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MSDA , a proteomics software suite for in‐depth M ass S pectrometry D ata A nalysis using grid computing
Author(s) -
Carapito Christine,
Burel Alexandre,
Guterl Patrick,
Walter Alexandre,
Varrier Fabrice,
Bertile Fabrice,
Van Dorsselaer Alain
Publication year - 2014
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201300415
Subject(s) - computer science , grid , software suite , software , toolbox , data mining , proteomics , suite , database , operating system , chemistry , mathematics , history , biochemistry , geometry , archaeology , gene , programming language
One of the major bottlenecks in the proteomics field today resides in the computational interpretation of the massive data generated by the latest generation of high-throughput MS instruments. MS/MS datasets are constantly increasing in size and complexity and it becomes challenging to comprehensively process such huge datasets and afterwards deduce most relevant biological information. The Mass Spectrometry Data Analysis (MSDA, https://msda.unistra.fr) online software suite provides a series of modules for in-depth MS/MS data analysis. It includes a custom databases generation toolbox, modules for filtering and extracting high-quality spectra, for running high-performance database and de novo searches, and for extracting modified peptides spectra and functional annotations. Additionally, MSDA enables running the most computationally intensive steps, namely database and de novo searches, on a computer grid thus providing a net time gain of up to 99% for data processing.