Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Translational bioinformatics in the cloud: an affordable alternative | Dudley et al. Genome Medicine 2010 2 51 http content 2 8 51 Genome Medicine CORRESPONDENCE Open Access Translational bioinformatics in the cloud an affordable alternative 1 I -T- r-x 11 1 3 w I 7 3 r z I 7 7 Al I AAA 1 A I I . . 7 Joel T Dudley Yannick Pouliot Rong Chen Alexander A Morgan Atul J Butte 2 3 Abstract With the continued exponential expansion of publicly available genomic data and access to low-cost high-throughput molecular technologies for profiling patient populations computational technologies and informatics are becoming vital considerations in genomic medicine. Although cloud computing technology is being heralded as a key enabling technology for the future of genomic research available case studies are limited to applications in the domain of high-throughput sequence data analysis. The goal of this study was to evaluate the computational and economic characteristics of cloud computing in performing a large-scale data integration and analysis representative of research problems in genomic medicine. We find that the cloud-based analysis compares favorably in both performance and cost in comparison to a local computational cluster suggesting that cloud computing technologies might be a viable resource for facilitating large-scale translational research in genomic medicine. Background The intensely data-driven and integrative nature of research in genomic medicine in the post-genomic era presents significant challenges in formulating and testing important translational hypotheses. Advances in high-throughput experimental technologies continue to drive the exponential growth in publicly available genomic data and the integration and interpretation of these immense volumes of data towards direct measureable improvements in patient health and clinical outcomes is a grand challenge in genomic medicine. Consequently genomic medicine has become rooted in and enabled by bioinformatics engendering the notion of translational bioinformatics
