#51 Max Sprang: Can "Bad" Genomic Data Make Science Better?

In this episode of AskDifferent, bioinformatician and Einstein
Foundation Early Career Awardee Maximilian Sprang takes us into
the hidden world of errors in genomic data. Why do sequencing
studies sometimes produce impressive-looking results that later
fail to replicate? What happens when tiny technical glitches
masquerade as biological discoveries - and what does that mean
for patients and precision medicine? Sprang explains how his team
detects and even deliberately introduces errors to understand
them better, improve software tools, and make genomic research
more reliable without throwing "messy" data away.


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#AskDifferent, the Einstein Foundation’s podcast series


https://www.einsteinfoundation.de/en/