생물정보학 세미나 공지

 

 

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

 

 

 

일시: 2013. 6. 10.(월) 11:00

연사: 박현정 박사 (Baylor College of Medicine, Dan L. Duncan Cancer Center)

장소: 220동 6층 대회의실

 

 

Title: Computational Identication of LncRNA and Its Functional Analysis

 

 

Abstract: Since large noncoding RNAs (lncRNAs) emerge as key regulators of diverse cellular processes, extensive eorts have been on identifying them in various tissues and species. With the recent availability of high throughput data, several computational pipelines have been proposed to carry out the identication for large-scale analysis. As the performance of the pipeline heavily depends on the coding potential estimation, but the pre-existing programs do not perform well, we develop a tool that accurately estimates coding potential and helps better-identify lncRNAs in the pipelines. With the aid of the tool, we build up a computational pipeline to identify tissue-specic lncRNAs and identify hundreds novel hematopoetic stem cell (HSC)-specic lncRNAs that we show in vitro and in vivo to be actively involved in HSC pluripotency and dierentiation. Additionally, we conduct a large-scale data analysis on the lncRNAs to make several interesting observations about them including their time specicity. Then, we turn our focus to the functional analysis, and are developing the rst lncRNA functional analysis program for RNA-seq data that outperforms competing algorithms operating on microarray data. In particular, the outperformance is achieved by employing an accurate association measure for non-linear dependence between transcripts and bootstrap-based signicance estimation robust to noise and error in the data. It is worth mentioning that we also dene functional identiability for the functional analysis to be more useful. As our tools accurately identify lncRNAs and infer their functions, we expect that they enable an informative large-scale lncRNA analysis and help guide downstream experiments to be more eective.

 

 

Bio:

EDUCATION

Ph.D., Computer Science, Rice University, 2012

M. S., Computer Science, Texas A&M University, 2007

B. S., Computer Science, Yonsei University, 2005

 

SELECTED PUBLICATIONS

Liguo Wang, Hyun Jung Park, Shengqin Wang, Jean-Pierre Kocher, Wei Li, “"CPAT: Coding-Potential Assessment

Tool Using an Alignment-Free Logistic Regression Model" Nucleic Acid Research Apr. 1, 2013 41(6)

Hyun Jung Park and L. Nakhleh, “"Inference of Reticulate Evolutionary Histories by Maximum Likelihood:

The Performance of Information Criteria", BMC Bioinformatics 13:S12, 2012

Hyun Jung Park, G. Jin, and L. Nakhleh, "Algorithmic strategies for estimating the amount of reticulation

from a collection of gene trees", Proceedings of the 9th Annual International Conference on Computational Systems Biology. 114-123, 2010

Hyun Jung Park, G. Jin, and L. Nakhleh, "Bootstrap-based Support of HGT Inferred by Maximum Parsimony", BMC Evolutionary Biology, 10: 131, 2010

 

 

 

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최