Open AccessCloud Computing for Comparative Genomics with Windows Azure Platform
Author(s) -
Insik Kim,
Jae-Yoon Jung,
Todd F. DeLuca,
Tristan Nelson,
Dennis P. Wall
Publication year - 2012
Publication title -
evolutionary bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 32
ISSN - 1176-9343
DOI - 10.4137/ebo.s9946
Subject(s) - cloud computing , computer science , amazon rainforest , genomics , data science , world wide web , operating system , genome , biology , biochemistry , gene , ecology
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.
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