ASHG 2013
Recent articles
Recurrent mutations up risk of autism, related disorders
Autism, epilepsy and intellectual disability share certain risk genes, and mutations in these genes recur in multiple individuals. The preliminary results were presented Friday at the American Society of Human Genetics Meeting in Boston, Massachusetts.
Recurrent mutations up risk of autism, related disorders
Autism, epilepsy and intellectual disability share certain risk genes, and mutations in these genes recur in multiple individuals. The preliminary results were presented Friday at the American Society of Human Genetics Meeting in Boston, Massachusetts.
Hopping gene destabilizes autism-linked chromosomal region
Researchers have found the first direct evidence that a hopscotching gene destabilizes the 15q13.3 chromosomal region, and may be to blame for the region’s role in autism and other brain disorders. They presented the unpublished results Wednesday at the American Society of Human Genetics Meeting in Boston, Massachusetts.
Hopping gene destabilizes autism-linked chromosomal region
Researchers have found the first direct evidence that a hopscotching gene destabilizes the 15q13.3 chromosomal region, and may be to blame for the region’s role in autism and other brain disorders. They presented the unpublished results Wednesday at the American Society of Human Genetics Meeting in Boston, Massachusetts.
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.