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Julia Salzman

Julia Salzman

Associate Professor, Biomedical Data Science
Associate Professor, Biochemistry
Associate Professor (By courtesy), Statistics
Associate Professor (By courtesy), Biology
Member, Bio-X
Faculty Fellow, Sarafan ChEM-H
Member, Stanford Cancer Institute
Member, Wu Tsai Neurosciences Institute
Ph. D., Stanford University, Statistics (2007)
A. B., Princeton University, Mathematics (2002)
Affiliation:
The Salzman lab is primarily a statistical and computational biology data science laboratory. We are focusing on a new unifying paradigm, SPLASH (Statistically Primary aLignment Agnostic Sequence Homing), an approach that directly analyzes raw sequencing data to detect a signature of regulation: sample-specific sequence variation. The approach, which includes a new statistical test, is computationally efficient and can be run at scale. SPLASH unifies detection of myriad forms of sequence variation. Our group uses data mining and collaboration in our group and others to experimentally validate predictions on biological systems from single cell analyses of human and non-model organisms to microbes, plants viruses and symbioses. The reference-free nature of SPLASH enable co-detection of genome regulation in and outside of the human genome, including in human variation missing from reference genomes.