A Metagenomic Analysis of Environmental and Clinical Samples Using a Secure Hybrid Cloud Solution

摘要

The number and types of studies about the human microbiome, metagenomics and personalized medicine, and clinical genomics are increasing at an unprecedented rate, leading to computational challenges. For example, the analysis of patient/clinical samples requires methods capable of (i) accurately detecting pathogenic organisms, (ii) running with high speed to allow short response-time and diagnosis, and (iii) scaling to ever growing databases of reference genomes. While cloud-computing has the potential to offer low-cost solutions to these needs, serious concerns regarding the protection of genomic data exist due to the lack of control and security in remote genomic databases.