Razib Khan's Unsupervised Learning

Daniel Tabin: ancient DNA, the good, bad and ugly


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On this episode of Unsupervised Learning Razib talks to Daniel Tabin, a 5th-year Ph.D. student in David Reich's lab in the Department of Human Evolutionary Biology. His research focuses on using ancient and modern DNA to answer questions about human history. Tabin completed a degree in Computer Science and Math and Master's in Computer Science from Rensselaer Polytechnic Institute. He Ph.D. project involves the population genetic history of Central and East Asia.

First, Razib and Tabin discuss a recent paper he co-authored that looks at problematic results in the paleogenetic literature due to contamination and DNA damage. Tabin reviews all the processes and analyses that paleogeneticists go through to validate that the ancient DNA data they have is truly ancient, rather than recent contamination, from wet-lab precautions to downstream analysis. Then they dig into the empirical results over the last 15 years from the field of ancient DNA, from what we know (or don't) of the out-of-Africa bottleneck, early modern humans in Asia and how we think about persistent mysteries like "Population Y" in the New World (Population Y is more closely related to Papuans and Andamanese than Northeast Asians).

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Razib Khan's Unsupervised LearningBy Razib Khan

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