The University of Texas at Austin who used supercomputer to study the role of transcription factor proteins in gene regulation makes me think about how many organisations in the the life sciences arena have access to this kind of computational resource for their studies. Only few universities and some large pharmaceutical companies I suppose. Often organisations and research groups struggle to create or get access to the required computational power. Cloud infrastructure would be a perfect alternative (in most cases) to supercomputers.
At Eagle Genomics we regularly use Amazon Web Services together with a workflow system (eHive: An Artificial Intelligence workflow system for genomic analysis) to run similar next-generation sequencing workflows and cut down months (even years in few cases) of run time to hours. For people who wanted to give IaaS a try, it is the best time to get hands-on and get a feel of how it works. Amazon Web Services has a Free Usage Tier to try out without burning a hole in your pocket. Organisations with existing clusters looking to extend current capabilities can also use Eucalyptus to set-up Enterprise Private/Hybrid Cloud.