Molecular Diagnosis of Pediatric Brain Disease

Our lab at the UCSD School of Medicine is looking for data scientists interested in learning about genomic data for analysis and algorithm design. We work at the interface of neurogenomics and computational analysis. One of our major projects is on computationally identifying mosaic genetic mutations, which are genetic changes in only a small percent of the DNA molecules, but that can have devastating consequences in the brain. Detecting these mutations is computationally very challenging, and is a active area of research.
Type of Data: 
Genomic, transcriptomic, methylomic, and other data types, stored at SDSC
Approximate Data Size: 
2 petabytes
Domain Expert: 
Methods Student Openings: 
Methods Student Funding: