Tychele Turner is assistant professor of genetics at the Washington University School of Medicine in St. Louis, Missouri, where her lab focuses on the study of noncoding variation in autism, precision genomics in 9p deletion syndrome, optimization of genomic workflows and the application of long-read sequencing to human genetics.
Tychele Turner
Assistant professor of genetics
Washington University School of Medicine
From this contributor
How long-read sequencing will transform neuroscience
New technology that delivers much more than a simple DNA sequence could have a major impact on brain research, enabling researchers to study transcript diversity, imprinting and more.
How long-read sequencing will transform neuroscience
By
Tychele Turner
22 November 2023 | 6 min read
Focus on function may help unravel autism’s complex genetics
To find the pathogenic mutations in complex disorders such as autism, researchers may need to conduct sophisticated analyses of the genetic functions that are disrupted, says geneticist Aravinda Chakravarti.
Focus on function may help unravel autism’s complex genetics
By
Aravinda Chakravarti, Tychele Turner
26 June 2012 | 7 min read
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
By
Jill Adams
16 June 2026 | 2 min read
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
By
Brian DePasquale
16 June 2026 | 17 min read
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
By
Rachel Parkinson
15 June 2026 | 7 min read