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
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
Explore more from The Transmitter
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the publisher’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the publisher’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.