Bio-IT World Conference 2018 – Data Science Has Replaced Bioinformatics

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

This year’s Bio-IT 2016 With Clinical Genetics as the Frontrunner

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This year’s Bio-IT conference – with theme Big Data – was clearly marked by the presence of clinical genetics: its data sharing, analysis, and interpretation challenges echoed throughout the many talks (and exhibit) whether it was Heidi Rhem’s opening plenary session or George Church’s genomics breakfast session, demonstrating that routine sequencing is within reach. Undoubtedly, there have been great developments in the software space in the past years, but scaling for massive genomics data still requires work! Interestingly, overlapping with Bio-IT 2016, the 13th International Congress of Human Genetics held in Kyoto further exemplified what was communicated Continue reading