Graduate School: University of California, Santa Barbara
Primary Appointment: Associate Professor, Biochemistry and Molecular Genetics
Physical Modeling of Microarray Hybridization; Analysis of Genomic Tiling Array Data; Bioinformatics; Computational Biology; Regulatory Networks
Email Address: firstname.lastname@example.org
Biomedical Sciences Graduate Program(s)
My laboratory develops and applies computational statistics methods to functional genomic data with a focus on epigenetic data. Epigenetics is the study of heritable phenotypic traits not coded in the primary DNA sequence, which can be modified by environmental factors and comprise a complex regulatory network that controls a number of processes on DNA including transcription, replication and repair. A central element of this control network is chemical groups (e.g., acetyl or methyl) that are added or removed from DNA and histones, which package DNA in a cell’s nucleus. Control of processes such as transcription is achieved by making DNA sequences available or unavailable for factors including General Transcription Factors and Pol II that initiate transcription as well as recruitment of factors that facilitate each stage of transcription (i.e., promotion, elongation, etc.). Similarly, accessibility of DNA regulates the binding of the Origin Recognition Complex and subsequent initiation of DNA replication. Epigenetic factors have been shown to play a fundamental role in regulating cell differentiation, and the dysregulation of epigenetic processes have been implicated in a number of diseases including cancer, diabetes, and neurological disorders.
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