Low Cost, Scalable Proteomics Data Analysis Using Amazon’s Cloud Computing Services and Open Source Search Algorithms Export

@article{citeulike:4298633, abstract = {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 ).}, author = {Halligan, Brian D. and Geiger, Joey F. and Vallejos, Andrew K. and Greene, Andrew S. and Twigger, Simon N.}, citeulike-article-id = {4298633}, citeulike-linkout-0 = {http://dx.doi.org/10.1021/pr800970z}, citeulike-linkout-1 = {http://pubs.acs.org/doi/abs/10.1021/pr800970z}, day = {5}, doi = {10.1021/pr800970z}, journal = {Journal of Proteome Research}, keywords = {cloud-computing, peptide-identification, proteomics, tandem-mass-spectrometry}, month = {June}, number = {6}, pages = {3148--3153}, posted-at = {2009-06-10 17:09:39}, priority = {2}, title = {Low Cost, Scalable Proteomics Data Analysis Using Amazon's Cloud Computing Services and Open Source Search Algorithms}, url = {http://dx.doi.org/10.1021/pr800970z}, volume = {8}, year = {2009} }

TY - JOUR ID - citeulike:4298633 L3 - citeulike-article-id:4298633 N2 - 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 ). IS - 6 JF - Journal of Proteome Research EP - 3153 TI - Low Cost, Scalable Proteomics Data Analysis Using Amazon’s Cloud Computing Services and Open Source Search Algorithms VL - 8 SP - 3148 KW - cloud-computing KW - peptide-identification KW - proteomics KW - tandem-mass-spectrometry AU - Halligan, Brian AU - Geiger, Joey AU - Vallejos, Andrew AU - Greene, Andrew AU - Twigger, Simon PY - 2009/06/05/ UR - http://dx.doi.org/10.1021/pr800970z ER -