title: Bioinformatics and Microarray Data Analysis on the Cloud.
abstract: High-throughput platforms such as microarray, mass spectrometry, and next-generation sequencing are producing an increasing volume of omics data that needs large data storage and computing power. Cloud computing offers massive scalable computing and storage, data sharing, on-demand anytime and anywhere access to resources and applications, and thus, it may represent the key technology for facing those issues. In fact, in the recent years it has been adopted for the deployment of different bioinformatics solutions and services both in academia and in the industry. Although this, cloud computing presents several issues regarding the security and privacy of data, that are particularly important when analyzing patients data, such as in personalized medicine. This chapter reviews main academic and industrial cloud-based bioinformatics solutions; with a special focus on microarray data analysis solutions and underlines main issues and problems related to the use of such platforms for the storage and analysis of patients data.
authors: Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy.
authors: Barbara
authors: B
authors: Calabrese
authors: Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy. cannataro@unicz.it.
authors: Mario
authors: M
authors: Cannataro
mesh_terms: D000067917:Cloud Computing; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D046228:Microarray Analysis / Q000379:methods*
keywords: Bioinformatics; Cloud computing; Microarray data analysis