The advent of the microarray technology in 2000 has paved the way for advanced translational research methods that use molecular markers such as microRNA, proteins, metabolites and copy number data. The popularity of next generation sequencing (NGS) grew exponentially in 2007 when a faster, more accurate and affordable sequencing throughput became a reality. Since then, the size and complexity of genomic data has increased many fold, making its analysis, management and integration increasingly challenging. To drive hypothesis generation and validation of molecular markers for biologists and researchers, it would be convenient to have a “one–stop” system that can handle omics and de-identified clinical data in one location.In response to this need, we have developed a software research platform called G-DOC Plus. G-DOC Plus is an enhanced web platform that uses cloud computing and other advanced computational tools to handle NGS and medical images so that they can be analyzed in the full context of other omics and clinical information to drive personalized medicine research. G-DOC Plus tools have been leveraged in the cancer and non-cancer realms for hypothesis generation in precision medicine and translational research.  With the goal of improving overall health outcomes through advanced genomics research, G-DOC Plus, enables the integrative analysis of multiple a variety of data types to understand mechanisms of cancer and non-cancer diseases to drive new hypothesis for precision medicine.  G-DOC Plus allows researchers to explore data one patient at a time, as a sub-cohort of samples; or as a population as a whole, providing the user with a comprehensive view of the data.

Learning Objectives: 

1. Learn how to use a publicly available translational research software platform
2. Learn how to combine omics and clinical data to generate novel hypothesis for cancer studies
3. Learn about application of Bioinformatics to discover prognostic biomarkers in stage II colorectal cancers