Large data management is the organization, administration, and governance behind large volumes of structured and unstructured data. It ensures a high level of data quality and accessibility for intelligence and analyses applications.
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Technological advances in high throughput, low cost DNA sequencing coupled with the availability of a high quality reference assembly allow us to interrogate the genome with greater precision...
Survival rates for early stage non-small cell lung cancer (NSCLC) remain unacceptably low compared to other common solid tumors. This mortality reflects a weakness in conventional staging, as...
Illumina next-generation sequencing (NGS) and microarray technologies are revolutionizing cancer research, enabling cancer variant discovery and detection and molecular monitoring. Join u...
In this presentation I describe pathway based analyses of genotyping data to identify pathways related to the development of complex diseases, with a focus on lung cancer and selected autoimm...
With advances in next-generation sequencing, whole-exome and genome sequencing (WGES) is now accessible as a tool in many applications. In the clinical setting, WGES is proving to be very val...
As next-generation sequencing (NGS) platforms advance in their speed, ease-of-use, and cost-effectiveness, many translational researchers are transitioning from microarrays to RNA sequencing...
Interest in vitamin D status remains high amongst the public and medical profession alike stimulating a surge in requests for clinical laboratories to measure patient serum 25-hydroxyvitamin...