Cloud computing is a computing model that provides dynamically scalable virtualized resources as a service through the Internet. Nowadays, with the rapid development of high-throughput sequencing technology, bioinformatics has entered the era of big data, and the problems caused by the storage and analysis of massive sets of massive biological data need to be solved by the cloud.
Recently, Zhang Zhang, a researcher of the "Hundred Talents Program" of the Key Laboratory of Genomic Science and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, and King Abdullah University of Science and Technology, Beijing Institute of Technology, IBM China System Carried out cooperative research with the R & D Center and published an academic paper entitled Bioinformatics clouds for big data manipulation in Biology Direct. This paper analyzes the existing cloud computing services in the field of bioinformatics (abbreviation: bioinformatics cloud), and first proposes a classification method based on its service characteristics: Data as a Service (DaaS, Data as a Service), Software as a Service (SaaS, Software as a Service), Platform as a Service (PaaS, Platform as a Service) and Infrastructure as a Service (IaaS, Infrastructure as a Service).
The biological information cloud provides services related to the storage, acquisition, and analysis of massive biological data from four aspects. At the same time, the article prospects and discusses the application of cloud computing in bioinformatics, and proposes and analyzes the following urgent problems to be solved, namely, the bioinformatics cloud should implement cloud storage of data and software, combined with the latest high-speed transmission, P2P , Data compression and other technologies support the transmission of big data, develop a cloud-based lightweight programming environment, and establish an open bioinformatics cloud platform.
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