ASHG 2016
Recent articles
Many people harbor large mutations linked to autism
DNA deletions and duplications tied to autism crop up in people without the condition, too.
Many people harbor large mutations linked to autism
DNA deletions and duplications tied to autism crop up in people without the condition, too.
Drug duo may reverse effects of Rett mutations in cells
A pair of existing drugs normalizes the appearance and activity of neurons derived from the skin of individuals with Rett syndrome.
Drug duo may reverse effects of Rett mutations in cells
A pair of existing drugs normalizes the appearance and activity of neurons derived from the skin of individuals with Rett syndrome.
‘Synonymous’ mosaic mutations may up autism risk
A type of mutation long thought to be harmless has turned out to play an unexpected role in autism.
‘Synonymous’ mosaic mutations may up autism risk
A type of mutation long thought to be harmless has turned out to play an unexpected role in autism.
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.