Autism Therapy on Glass
The Wall Lab, the Winograd Lab and Sension are building a new tool on Google Glass.
Through a collaborative effort that includes researchers from Stanford, UCLA, the New York Genome Center, Cold Spring Harbor Laboratory, and the Simons Foundation, we have amassed a collection of whole genomes and phenotypic measurements on thousands of individuals from families with autism. This platform will help researchers explore connections across data and individuals to more precisely understand autism.
GapMap engages the community of families with autism to capture geographic, diagnostic, and resource usage information to yield a more complete and dynamically updated understanding of autism resource epidemiology.
The Gut Microbiome in Autism
This study aims to improve our understanding of the link between gut microbiome functionality, genome variation, and ASD phenotype, and reveal the specific mechanisms by which the gut microbiome interacts with autism-related alleles to produce and modify ASD.
NGS Large-Scale Variant Detection in Autism
This is a large-scale genomics analysis of next-generation sequencing (NGS) datasets from autism case-control and family data.
Clinical Application, DMC Survey
The clinical application of the machine learning classifiers we developed, at Boston Children’s Hospital, Developmental Medicine Center.
Machine Learning Diagnostic Classifiers
We develop machine learning classifiers aimed at diagnosing ASD and related conditions, using simpler criteria than gold-standard methods with the hope of getting children diagnosed sooner.
Using wearables to detect and quantify bipolar disorder.
A social network analysis of autism-focused research trends across the country starting in the year 2000.
SysMed is a research site devoted to the genetic causes of Autism Spectrum Disorder.
Home Video Project
This proof of concept project evaluated the feasibility of applying our machine learning classifiers to home videos to evaluate accuracy for detection of autism spectrum disorder in a non-clinical setting.
“Route 66” to Autism
Identifying a common molecular signature in ASD gene expression
Integration of all gene expression experiments conducted on different types of tissue from autism cases and matched controls to determine if a unique ASD signature exists.
GeneHawk is a database of associations between genes and disorders found by data mining PubMed.
Genotator is a meta-query engine designed to provide high quality gene-disease associations based upon data from 11 highly reliable resources.
COSMOS is a library to manage large-scale analysis workflows focusing on next-generation sequencing genomic data.
Roundup is a large-scale orthology database. The orthologs are computed using the Reciprocal Smallest Distance (RSD) algorithm.