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Joint Research Seminar (14 Jul 2014)



Joint Research Seminar

Genomics Strategic Research Theme
Centre for Genomic Sciences

Elucidate Transcriptome Isoform
Complexity Using Massive RNA-seq Data

Associate Professor
Department of Microbiology
Immunology and Molecular Genetics, UCLA

14 July 2014 (Mon)

11 am – 12 noon

Seminar Room 7
Laboratory Block, Faculty of Medicine Building
21 Sassoon Road, Pokfulam, HK


The recent advent of the high-throughput RNA sequencing (RNA-seq) technology has provided a powerful tool for transcriptome-wide measurements of mRNA isoform complexity at an unprecedented resolution. By generating massive amounts of sequence reads from a given RNA sample, researchers can reveal the identity and quantify the abundance of mRNA isoforms across the entire transcriptome. Large consortium projects are generating RNA-seq data on tens of thousands of samples along with a wide variety of other genomic and phenotypic measurements. However, the enormous potential of these large, complex datasets cannot be fully realized without the development of methods for discovering patterns and generating biological insights from big transcriptome and genome data. In this talk, I will discuss our recent efforts in developing computational and statistical methods for elucidating transcriptome isoform complexity using massive RNA-seq datasets.
About the Speaker: 

Dr Yi Xing is an associate professor in the Department of Microbiology, Immunology and Molecular Genetics at UCLA. He received his BS in Molecular and Cellular Biology and BE in Computer Science and Technology from the University of Science and Technology of China (2001). He completed his PhD training in Bioinformatics with Dr Christopher Lee at the University of California, Los Angeles (2001-2006), and his postdoctoral training with Drs Wing Hung Wong and Matthew Scott at the Stanford University (2006-2007). Dr Xing has an extensive publication record in bioinformatics, genomics, and RNA biology. His research has provided fundamental insights into the function, regulation, and evolution of post-transcriptional RNA processing in mammals. Today his group combines genomic, bioinformatic, and molecular approaches to elucidate the variation and dynamics of RNA regulatory networks in development and disease. Dr Xing has received prestigious young investigator research awards from the Sloan Foundation and the March of Dimes Foundation, and his research is supported by the NIH and other nonprofit organizations.


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