ASHG 2015
Recent articles
Analysis makes sense of missense mutations’ role in autism
Analyzing thousands of sequences, researchers have homed in on miniscule portions of the genome that may be crucial in determining autism risk.
Analysis makes sense of missense mutations’ role in autism
Analyzing thousands of sequences, researchers have homed in on miniscule portions of the genome that may be crucial in determining autism risk.
New methods tighten net around autism genes
Autism researchers are sharpening their statistical tools to make sense of the growing pool of autism genes.
New methods tighten net around autism genes
Autism researchers are sharpening their statistical tools to make sense of the growing pool of autism genes.
Dispatches from ASHG 2015
These short reports from our reporter, Jessica Wright, give you the inside scoop on developments at the 2015 American Society of Human Genetics Annual Meeting.
Dispatches from ASHG 2015
These short reports from our reporter, Jessica Wright, give you the inside scoop on developments at the 2015 American Society of Human Genetics Annual Meeting.
Twin study unearths clues to role of environment in autism
Researchers in Sweden are assembling a large group of identical twin pairs, with only one twin in each pair having autism.
Twin study unearths clues to role of environment in autism
Researchers in Sweden are assembling a large group of identical twin pairs, with only one twin in each pair having autism.
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.