Welcome! We are a computational and experimental genomics lab located on the UCSF Parnassus Campus. We:
Develop molecular tools to measure and perturb genome function.
Develop computational tools to analyze high-dimensional genomic data.
Apply these tools to understand the molecular basis of what makes each of us unique.
Demuxlet, a computational method that enables cost-effective single-cell sequencing of many samples published in Nature Biotechnology.
This work paves the way for population scale application of single cell genomics. Congratulations to Hyun Min Kang (University of Michigan) and graduate students Sasha Targ and Meena Subramaniam.
Awarded a Human Cell Atlas pilot grant from the Chan Zuckerberg Initiative.
The funding will be used to compare protocols for preserving and sequencing white blood cells as part of the HCA.
GEVIN, a new method for inferring gene regulatory networks published in Genetics.
This was joint work with Irit Gat-Viks' lab at Tel Aviv University.
CMS, a statistical method for improving power to detect genetic association of correlated phenotypes published in Nature Genetics.
Joint work with the Zaitlen lab.
Characterization a Type-1 diabetes associated variant using genome engineering published in Nature.
Joint work with the Marson lab.