title: Translational biomedical informatics in the cloud: present and future.
abstract: Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics. The scale and dimensionality of data, however, pose obvious challenges in data mining, storage, and integration. In this paper we demonstrated the utility and promise of cloud computing for tackling the big data problems. We also outline our vision that cloud computing could be an enabling tool to facilitate translational bioinformatics research.
authors.affiliation: Center for Systems Biology, Soochow University, Suzhou 215006, China.
authors.forename: Jiajia
authors.initials: J
authors.lastname: Chen
authors.forename: Fuliang
authors.initials: F
authors.lastname: Qian
authors.forename: Wenying
authors.initials: W
authors.lastname: Yan
authors.forename: Bairong
authors.initials: B
authors.lastname: Shen
mesh_terms: D000818:Animals; D035843:Biomedical Research; D019295:Computational Biology; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D008490:Medical Informatics; D012984:Software