HPC and Grid Computing for Integrative Biomedical Research Export

@article{citeulike:5489452, abstract = {Integrative biomedical research projects query, analyze, and integrate many different data types and make use of datasets obtained from measurements or simulations of structure and function at multiple biological scales. With the increasing availability of high-throughput and high-resolution instruments, the integrative biomedical research imposes many challenging requirements on software middleware systems. In this paper, we look at some of these requirements using example research pattern templates. We then discuss how middleware systems, which incorporate Grid and high-performance computing, could be employed to address the requirements. 10.1177/1094342009106192}, author = {Kurc, Tahsin and Hastings, Shannon and Kumar, Vijay and Langella, Stephen and Sharma, Ashish and Pan, Tony and Oster, Scott and Ervin, David and Permar, Justin and Narayanan, Sivaramakrishnan and Gil, Yolanda and Deelman, Ewa and Hall, Mary and Saltz, Joel}, citeulike-article-id = {5489452}, citeulike-linkout-0 = {http://dx.doi.org/10.1177/1094342009106192}, citeulike-linkout-1 = {http://hpc.sagepub.com/cgi/content/abstract/23/3/252}, day = {1}, doi = {10.1177/1094342009106192}, journal = {International Journal of High Performance Computing Applications}, keywords = {cites-taverna, grid, hpc, mygrid, taverna, workflow}, month = {August}, number = {3}, pages = {252--264}, posted-at = {2009-08-20 10:49:57}, priority = {2}, title = {HPC and Grid Computing for Integrative Biomedical Research}, url = {http://dx.doi.org/10.1177/1094342009106192}, volume = {23}, year = {2009} }

TY - JOUR ID - citeulike:5489452 L3 - citeulike-article-id:5489452 N2 - Integrative biomedical research projects query, analyze, and integrate many different data types and make use of datasets obtained from measurements or simulations of structure and function at multiple biological scales. With the increasing availability of high-throughput and high-resolution instruments, the integrative biomedical research imposes many challenging requirements on software middleware systems. In this paper, we look at some of these requirements using example research pattern templates. We then discuss how middleware systems, which incorporate Grid and high-performance computing, could be employed to address the requirements. 10.1177/1094342009106192 IS - 3 JF - International Journal of High Performance Computing Applications EP - 264 TI - HPC and Grid Computing for Integrative Biomedical Research VL - 23 SP - 252 KW - cites-taverna KW - grid KW - hpc KW - mygrid KW - taverna KW - workflow AU - Kurc, Tahsin AU - Hastings, Shannon AU - Kumar, Vijay AU - Langella, Stephen AU - Sharma, Ashish AU - Pan, Tony AU - Oster, Scott AU - Ervin, David AU - Permar, Justin AU - Narayanan, Sivaramakrishnan AU - Gil, Yolanda AU - Deelman, Ewa AU - Hall, Mary AU - Saltz, Joel PY - 2009/08/01/ UR - http://dx.doi.org/10.1177/1094342009106192 ER -