Prahalad, H.A.Talukder, A.Pardeshi, S.Tamsekar, S.Hari Krishna, R.Chandrashekar, M.A.Niket, B.Gandham, S.2026-02-0620102010 7th International Conference on Wireless and Optical Communications Networks, WOCN2010, 2010, Vol., , p. -https://doi.org/10.1109/WOCN.2010.5587350https://idr.nitk.ac.in/handle/123456789/33137Computational Quantitative Biology applications like Genomics, Transcriptomics, Proteomics, Metabolomics and Systems Biology at large require high computing resources that include both processing and storage. Cloud computing provides dynamically scalable on-demand infrastructure in a virtualised environment for processor intensive and data/storage intensive applications. Users need not own this infrastructure; rather use them as and when needed by paying for these resources in pay-as-you-use model that are generally available as a service over the internet. In this paper we present Phoenix - a middleware system for platform as a service (PaaS). This paper describes Phoenix as a novel system for implementing GenomicsCloud - A Cloud computing solution designed specifically to solve OMIC sciences problems. It comprises of a vast pool of compute, storage and application infrastructure for processing the data generated by next generation sequencers (NGS). ©2010 IEEE.Cloud computingComputational biologyGenomicsCloudNext generation sequencingOMIC sciencesPhoenixSystems biologyVirtualization