A major technological shift in the research community in the past decade has been the adoption of high throughput (HT) technologies to interrogate the genome, epigenome, transcriptome, and proteome in a massively parallel fashion [ , ]. This has provided both unique discovery opportunities and challenges for computational and quantitative scientists in predicting phenotypic outcomes. ‘Big Data’ encompasses the collection of data sets derived from technologies and so large and complex that their processing is impractical using traditional data processing applications. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archival and integration of Big Data.
展开▼
