Cloud Computing for Comparative Genomics with Windows Azure Platform

Autor: Insik Kim, Jae-Yoon Jung, Todd F. DeLuca, Tristan H. Nelson, Dennis P. Wall
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Evolutionary Bioinformatics, Vol 8 (2012)
Druh dokumentu: article
ISSN: 1176-9343
DOI: 10.4137/EBO.S9946
Popis: 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.
Databáze: Directory of Open Access Journals