title: Enabling large-scale biomedical analysis in the cloud.
abstract: Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable.
authors.affiliation: Master's Program in Biomedical Informatics and Biomedical Engineering, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan ; Department of Applied Mathematics, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan.
authors.forename: Ying-Chih
authors.initials: YC
authors.lastname: Lin
authors.forename: Chin-Sheng
authors.initials: CS
authors.lastname: Yu
authors.forename: Yen-Jen
authors.initials: YJ
authors.lastname: Lin
mesh_terms: D035843:Biomedical Research; D019295:Computational Biology; D023281:Genomics; D012984:Software; D057170:Translational Research, Biomedical