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

About this episode

Maximilian Sprang discusses the impact of errors in genomic data on scientific research and precision medicine.

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. ___ #AskDifferent, the Einstein Foundation’s podcast series https://www.einsteinfoundation.de/en/

People in this episode

Guest: Maximilian Sprang

Topics covered

• genomic data
• bioinformatics
• precision medicine
• data errors
• scientific replication

Keywords

• genomic data
• bioinformatics
• data errors
• precision medicine
• scientific replication

Mentioned in this episode

Organizations: Einstein Foundation, Einstein Stiftung Berlin

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