期刊
JOURNAL OF PROTEOME RESEARCH
卷 8, 期 6, 页码 3148-3153出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr800970z
关键词
mass spectrometry; data analysis; search algorithms; software; cloud computing
资金
- NHLBI Proteomics Center [NIH-N01 HV-28182]
One of the major difficulties for many laboratories setting up proteomics programs has been obtaining and maintaining the computational infrastructure required for the analysis of the large flow of proteomics data. We describe a system that combines distributed cloud computing and open source software to allow laboratories to set up scalable virtual proteomics analysis clusters without the investment in computational hardware or software licensing fees. Additionally, the pricing structure of distributed computing providers, such as Amazon Web Services, allows laboratories or even individuals to have large-scale computational resources at their disposal at a very low cost per run. We provide detailed step-by-step instructions on how to implement the virtual proteomics analysis clusters as well as a list of current available preconfigured Amazon machine images containing the OMSSA and X!Tandem search algorithms and sequence databases on the Medical College of Wisconsin Proteomics Center Web site (http://proteomics.mcw.edu/vipdac).
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