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MSDA, a proteomics software suite for in-depth Mass Spectrometry Data Analysis using grid computing

delete2014-03-12
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OA
AI
C
Christine Carapito *
A
Alexandre Burel
P
Patrick Guterl
A
Alexandre Walter
F
Fabrice Varrier
F
Fabrice Bertile
A
Alain Van Dorsselaer
DOI:10.1002/pmic.201300415delete
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摘要

摘要

En 中文
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, ) 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.
Keyword:
Bioinformatics
Computational proteomics
Database searching
De novo sequencing
Functional annotations
Grid computing

期刊

Proteomics 封面图
Proteomics
IF:
3.9
论文数:
7.6K
被引数:
1.1W

机构

C
centre national de la recherche scientifique (cnrs)
学者数:
24.5W
论文数: 18.2W
被引数: 279
引用论文

引用论文

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