생물정보학 세미나 공지

 

서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 특별 세미나를 아래와 같이 열고자 하오니, 많은 참여 바랍니다.

 

 

일시: 2012년 8월 17일(금) 11:00

연사: Shili Lin (The Ohio State University)

장소: 25동 411호

 

 

Title: Bayesian Modeling for Identifying Spatial Interactions of Chromatins

 

 

 

The expression of a gene is usually controlled by the regulatory elements in its promoter region. However, it has long been hypothesized that, in complex genomes, such as the human genome, a gene may be controlled by distant enhancers and repressors. A recent molecular technique, 3C (chromosome conformation capture), that uses formaldehyde cross-linking and locus-specific PCR was able to detect physical contacts between distant genomic loci. Such communication is achieved through spatial organization (looping) of chromosomes to bring genes and their regulatory elements into close proximity. Several adaptations of the 3C assay to study genome-wide spatial interactions, including Hi-C and ChIA-PET (chromatin interaction analysis by pair-end tag sequencing), have been proposed. However, due to the enrichment of ligation products on beads, such methods may also detect random collisions in addition to true spatial interactions. In this talk, I will present a mixture model for large-scale genome-wide looping data, which will be casted into a Bayesian framework to facilitate parameter estimation. In particular, I will discuss how to use part of the correlated data to tackle the problem of random collision to reduce false positives. Information on protein binding sites and gene promoters will also be integrated into the analysis to further enhance true loop detection power.

 

 

 

 

 

Bio : Shili Lin is Professor of Statistics at the Ohio State University. After earning her Ph.D. in statistics, under the direction of Professor Elizabeth Thompson, from the University of Washington in 1993, Dr. Lin became a Neyman Visiting Assistant Professor in the Department of Statistics at the University of California at Berkeley. In 1995, Dr. Lin joined the faculty in the Department of Statistics at the Ohio State University, and has since been promoted to the rank of Full Professor with Tenure.

 

Shili Lin's research interests are in statistical genetics, genetic epidemiology, and Bioinformatics. In addition to methodological research, she has been working on collaborative projects with researchers at the Ohio State University and other universities in the United States, Asia, and Europe. Shili Lin currently serves as Associate Editor for Statistical Applications in Genetics and Molecular Biology, Journal of Statistical Planning and Inference, and Biometrics. She is also an Editorial Board member of the Genetic Epidemiology. She served as Associate Editor for Journal of the American Statistical Association in the past.

 

 

 

 

 

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최