A new statistical method for linking genes to a disorder analyzes both rare and common variants of a gene at the same time, according to a study published 14 May in the American Journal of Human Genetics. This makes it possible to confirm associations that other techniques might overlook.
It is possible to discover relationships between autism genes simply by reanalyzing existing datasets, says Alan Packer.
The odds that the average new neuroscience study’s findings are actually true are about 50-50, according to a report in the May Nature Reviews Neuroscience.
A new software algorithm called GAP measures the similarities in the function of more than 19,000 human protein-coding genes, according to a study published 14 March in BMC Systems Biology.
Show an image of a neuron to NEMO, a new free software tool, and it will trace the neuron’s shape and detail the length, breadth and number of its branches, scientists who designed the software reported 14 February in Frontiers in Neuroinformatics.
Researchers have used protein and drug interaction networks to identify drugs approved for one disorder that may be useful for treating another, they reported 18 January in Bioinformation.
Researchers can share and compare brain-imaging data on the UCLA Multimodal Connectivity Database, described in the 28 November Frontiers in Neuroinformatics. The resource builds connectivity matrices, which estimate the strength of connections between regions of the brain.
Researchers have created a network of various forms of many proteins linked to autism, revealing new molecular interactions that may play a role in the disorder. The unpublished work was presented in a poster last week at the Salk Institute, Fondation IPSEN and Nature Symposium on Biological Complexity in La Jolla, California.
Autworks, a new online tool, has data on almost 20,000 human genes linked to nearly 3,000 disorders. The tool, published 28 November in BMC Medical Genomics, creates gene-network maps for each disorder and highlights the overlap between them.
Babies at high risk for developing autism are more likely than controls to have delays in acquiring motor skills, according to two long-term studies published in the past few months.