Kim, InsikJung, Jae-YoonDeLuca, ToddNelson, TristanWall, Dennis Paul2013-04-102012Kim, Insik, Jae-Yoon Jung, Todd F. DeLuca, Tristan H. Nelson, and Dennis P. Wall. 2012. Cloud computing for comparative genomics with Windows Azure platform. Evolutionary Bioinformatics Online 8: 527-534.1176-9343http://nrs.harvard.edu/urn-3:HUL.InstRepos:10524360Cloud 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.en-UScloud computingWindows Azurecomparative genomicsRounduporthologorthologsgenomicscomputational genomicsJournal Article2013-04-1010.4137/EBO.S9946