title: When cloud computing meets bioinformatics: a review.
abstract: In the past decades, with the rapid development of high-throughput technologies, biology research has generated an unprecedented amount of data. In order to store and process such a great amount of data, cloud computing and MapReduce were applied to many fields of bioinformatics. In this paper, we first introduce the basic concepts of cloud computing and MapReduce, and their applications in bioinformatics. We then highlight some problems challenging the applications of cloud computing and MapReduce to bioinformatics. Finally, we give a brief guideline for using cloud computing in biology research.
authors.affiliation: School of Computer Science and Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai 200433, P. R. China.
authors.forename: Shuigeng
authors.initials: S
authors.lastname: Zhou
authors.forename: Ruiqi
authors.initials: R
authors.lastname: Liao
authors.forename: Jihong
authors.initials: J
authors.lastname: Guan
mesh_terms: D019295:Computational Biology / Q000639:trends*; D003195:Computer Communication Networks / Q000639:trends; D003205:Computing Methodologies; D006801:Humans; D016247:Information Storage and Retrieval / Q000639:trends*; D012984:Software; D014584:User-Computer Interface