Deep sequencing and high throughput microarray technologies have enabled scientists to routinely generate hundreds of thousands if not millions of new data points in a single experiment. The extraordinary rate of data generation, finite resources, and focused research interests limit most investigations to follow up on only a small fraction of the data generated from next-generation sequencing (NGS) instruments.
Ten years ago, there were no services available to curate data. Researchers relied on home grown tools to perform the cumbersome task of matching information to publications, but they didn’t have the expertise to do a re-analysis. A group of entrepreneurial scientists and bioinfomaticists envisioned a need for solutions to handle the deluge of data that was coming as more and more genomes, from different kinds of species, were being sequenced. That vision manifested into NextBio® Research, a genomics software platform that could match variant to variant sets and gene expression to DNA methylation to protein-DNA binding across a spectrum of organisms, saving researchers time and resources. By leveraging biomedical ontologies coupled with proto-machine learning algorithms, dynamic data-driven applications were added to aid in the discovery of novel relationships among diseases, compounds, gene perturbations, and pathways.