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Journal of Proteome Research, Vol. 8, No. 6. (5 June 2009), pp. 3148-3153, doi:10.1021/pr800970z Key: citeulike:4298633
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PMID: 19358578 We describe a system combining cloud computing and open source software that allows individual laboratories or users to create scalable virtual proteomics analysis clusters and have large-scale computational resources at their disposal at a very low cost without the investment in computational hardware or software licensing fees. We provide detailed step-by-step instructions on using these virtual proteomics analysis clusters at the Medical College of Wisconsin Proteomics Center Web site ( http://proteomics.mcw.edu/vipdac ).
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