This year’s conference kicked off with an interesting Data Science panel that included Tanya Cashorali (TCB Analytics), Jerald Schindler (Alkermes), John Reynders (Alexion Pharmaceuticals), and Lihua Yu (H3 Biomedicine). Without a doubt, data science is important and involves much more than big data, including the entire workflow of data creation, to insight generation, and decision-making. One key message that came across is that not all data is big data, and that we need improvements in data collection and infrastructure support for data analysis and management. Other key take-home messages: breaking down data silos, educating about responsibility, being responsible to not act independently on data, creating an environment that motivates everybody within a team to share, not rewarding bad data behavior, and being insensitive to data sharing to get more out in return. The big issue here is the culture. If the culture rewards Continue reading
enlightenbio is excited to introduce our new “Company Spotlight” blog series where we will review some of the exciting work that is currently ongoing in up- and-coming companies. Moving forward we plan on reviewing and profiling some of these companies and their products on a regular basis.
At ASHG, I had a chance to meet with Peter Schols, CEO of Diploid, a small seven person company located in Leuven, Belgium. I took this opportunity to learn more about Diploid, and Moon, the software the company has built, and its intended application to help diagnose rare disease.
The following summarizes questions and answers from my dialogue with Peter Schols.
EB: Tell us more about Diploid – what need are you trying to address and what services do you offer?
PS: Diploid is a privately funded, rare disease diagnostics company founded in 2014. Diploid started with offering an interpretation service, helping our customers analyze rare disease sequence data. Customers send us NGS data of a patient together with a description of the phenotype, and we deliver a report listing the most likely candidate variants. We focus exclusively on rare disease testing and currently support the Continue reading