Postdoctoral Positions in genome informatics and computational biology are available in the Beyster Center for Genomics of Psychiatric Disease and the Institute for Genomic Medicine at UC San Diego (http://igm.ucsd.edu). Our laboratory is developing novel approaches for the identification of risk genes for neuropsychiatric disorders, and we are initiating a new study focused on understanding the contribution of germline mutation to disease risk in Autism. We seek to understand the genetic basis of disease by Whole Genome Sequencing (WGS) in families, and by integrating data on de novo mutation and inherited genetic variation, including copy number variants (CNVs), nucleotide substitutions and indels (http://sebatlab.ucsd.edu/research). We are currently leading multiple large scale genetic studies of autism and schizophrenia.
Central to these studies is the development of new bioinformatics approaches to the analysis of large genomic datasets. Computational approaches under development include:
1. Design of machine-learning based tools for identifying functional genetic variants in coding & non-coding genetic elements
2. Fine-scale mapping of copy number variants (CNVs) by de novo assembly of long reads
3. Development of statistical techniques for testing the disease association of rare inherited and de novo genetic variants.
4. Identification of disease causing mutations by analysis of large genome sequencing datasets.