Our lab is at the intersection of computer science and genomics. We specialize in developing novel computational algorithms for analyzing biological data. The primary objective of the lab is to develop novel combinatorial algorithms and machine learning methods to study genomes and discover biomolecular causes of complex disorders. We are located in the fourth floor of the UC Davis Genome Center.
The method Kevlar for mapping-free de novo variant prediction in iScience (2019).
The extension of our tool TARDIS for complex structural variation prediction was published in Bioinformatics (2019).
The method for predicting the impact of structural variation on 3D genome structure was published in Genome Biology (2019).
The method for early prediction of Neurodevelopmental Disorders was published in Genetics (2018).
The method for TAD-fusion scoring and ranking was accepted to RECOMB, 2018 (accepted papers list).
There are openings in the group for motivated computational postdoctoral fellows working on disease modules.