| Literature DB >> 24131049 |
Shuigeng Zhou1, Ruiqi Liao, Jihong Guan.
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.Mesh:
Year: 2013 PMID: 24131049 DOI: 10.1142/S0219720013300025
Source DB: PubMed Journal: J Bioinform Comput Biol ISSN: 0219-7200 Impact factor: 1.122