This week, the Station X team will join hundreds of researchers gathering at Stanford for this year’s Big Data in Biomedicine conference. The agenda is chock full of the usual suspects and their talks will cover a broad range of topics including machine learning, digital health, genomics, the microbiome, cancer and population health, among others.

Clearly, big data has found its way into every nook and cranny of biomedical research. So much so that its importance has become de rigueur. Despite their ubiquity, big data are still presenting big challenges for researchers and clinicians who are finding themselves “caught inside” as the waves of new information crash in front of them.

Not only is the volume of data posing a challenge, but their variety is as well.  One of the biggest pain points for our customers is pulling together many different data types and organizing them into a context that supports their investigation of a specific patient sample. GenePool was designed to directly address this issue. 

Built upon a modern cloud-based architecture with big data technologies, analytical and visualization tools, the platform is designed for storing, analyzing and managing patient data in a HIPAA compliant environment. GenePool is pre-loaded with reporting capabilities for incidental findings and tumor profiling, but its flexibility means organizations can customize GenePool for use with their own reporting requirements. GenePool also provides a convenient and dynamic way to securely store variants of interest and their associated metadata for updated reporting and for investigating the aggregated information.

For example, you can import your genomics data directly into GenePool through its web-based user-interface or automate the process using our APIs. Once imported, you could link patient information from your LIMS/EHR system with the genomics data and then choose one of our pre-configured clinical workflows like expression profile and comparison, time-to-endpoint analysis, paired and trio analysis and sequence variation profile, or customize one that suits your needs —this process can also be automated. As you start your investigations, you can take advantage of clinically-relevant content available in GenePool, like The Cancer Genome Atlas, ClinVar, COSMIC, and dbSNP, amoung others,  and/or add your own content to define "reportable" information.  GenePool will then generate a PDF report using your custom-defined template and workflow.

There a many more ways in which GenePool can support biomedical research and precision medicine and we’d love to tell you more about them. For those of you attending the #BigData in Biomedicine conference, the Station X team will be there discussing GenePool in the Corporate Technical Showcase on Wednesday, May 25th from 4:30 – 6:00pm on the Alumni lawn. For those of you who won’t, you can reach us at anytime to arrange a conversation.