title: Cloud computing for comparative genomics with windows azure platform.
abstract: Cloud computing services have emerged as a cost-effective alternative for cluster systems as the number of genomes and required computation power to analyze them increased in recent years. Here we introduce the Microsoft Azure platform with detailed execution steps and a cost comparison with Amazon Web Services.
authors.affiliation: Center for Biomedical Informatics, Harvard Medical School, Boston, MA, USA. ; School of Electrical and Computer Engineering, Ulsan National Institute of Technology, Ulsan, Korea.
authors.forename: Insik
authors.initials: I
authors.lastname: Kim
authors.forename: Jae-Yoon
authors.initials: JY
authors.lastname: Jung
authors.forename: Todd F
authors.initials: TF
authors.lastname: Deluca
authors.forename: Tristan H
authors.initials: TH
authors.lastname: Nelson
authors.forename: Dennis P
authors.initials: DP
authors.lastname: Wall