Research
We focus on development and application of statistical and computational methodologies for functional genomics data such as gene expression (microarray and RNA-seq), chIP-Seq and proteomics. Applications of this work have included such complex traits as diabetes, cancer and alcoholism. There is also a strong interest in our group in network inference, particulalry for applications in cancer and infectious disease. Related to these analyses is a long standing interest in data cleaning and integration
A snapshot of some of our current projects:
Pacific NW Regional Center of Excellence: There are two major themes within our RCE: To identify age-related immune system defects to develop new vaccines and supplemental therapies to enhance protection of individuals to NIAID Category A-C pathogens AND To use systems genetic, chemical and proteomics approaches to identify therapeutic targets for biodefense and emerging diseases.
Accelerating Target Identification and Validation in Leukemia: An effective paradigm for accelerating development of clinical cancer therapeutics must entail an integrated approach in which functional assay-based target identification is supported with genomic and gene expression- based validation techniques. By integrating functional siRNA profiling of leukemia patient samples with Next Generation sequencing and gene expression arrays, we hypothesize that we will significantly accelerate the pace of target identification and validation.
Electornic Dissemination of Hematologic Cancer Survivorship materials with application to Adolescent and Young Adult Community: A key objective of this project is the generatio and electronic dissemination of treatment summaries via electronic medical records or other data capture models. The electronic toolkit that we have created is currently being utlized in development of a multi-site AYA cohort.