ASHG 2021
Recent articles
Community Newsletter: Twitter dispatches from the American Society of Human Genetics annual meeting
In this week’s Community Newsletter, we highlight online conversations about the conference’s technology foibles and scientific tours de force.
Community Newsletter: Twitter dispatches from the American Society of Human Genetics annual meeting
In this week’s Community Newsletter, we highlight online conversations about the conference’s technology foibles and scientific tours de force.
Subset of autism cases linked to mutations in noncoding genome
Autism involves mutations in noncoding portions of the genome in at least 3 percent of people with the condition. The mutations occur in regions that help regulate known autism-linked genes.
Subset of autism cases linked to mutations in noncoding genome
Autism involves mutations in noncoding portions of the genome in at least 3 percent of people with the condition. The mutations occur in regions that help regulate known autism-linked genes.
Autism-linked genetic variants increase, decrease intelligence
Common and rare variants in or near autism-associated genes can have opposite effects on cognition.
Autism-linked genetic variants increase, decrease intelligence
Common and rare variants in or near autism-associated genes can have opposite effects on cognition.
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.