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Editor - Zefeng Wang | CAS-MPG partner institute for computation | 8272
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Zefeng Wang

Zefeng Wang
Zefeng Wang
CAS-MPG Partner Institute for Computational Biology


Zefeng Wang is a Director of CAS-MPG Partner Institute for Computational Biology, China. Formaerly he was an Associate Professor in the Department of Pharmacology at University of North Carolina at Chapel Hill, USA.

Research Interest

The RNA system biology group at the Partner Institute for Computational Biology has already recruited several bright and energetic young scientists to work on several key questions in RNA biology. We are using a combination of molecular biology, computational biology, genetic/genomics, and biochemistry approaches to understand how gene expression is controlled at RNA level in a global scale. We take advantage of increasingly available big data in biology and medicine by systematically analyzing these multi-level data to gain mechanistic insight of post-transcriptional gene regulation. Because RNA is the center of the central dogma, our study on RNA processing will provide valuable information about human health. 



Global Speakers in the subject

Global Experts in the subject


Support Center Machine Method for Classification and Help in Medical Diagnosis System

Zefeng Wang, Laurent Peyrodie, Hua Cao and Samuel Boudet
Research Article: J Theor Comput Sci
DOI: 10.4172/2376-130X.1000129

Journal of Proteomics & Bioinformatics - Systematic Identification of Intronic Splicing Silencers with FAS-ISS

Systematic Identification of Intronic Splicing Silencers with FAS-ISS

Presented by: Zefeng Wang
University of North Carolina

Dr. Zefeng Wang has received his PhD in Biological Chemistry from  Johns Hopkins University, School of Medicine, Baltimore in 2002. Currently, he is working as Associate professor in UNC at Chapel Hill. His research has included Regulation code for alternative splicing, Function of splicing factors in human cancer, Bioengineering of artificial factors to manipulate control RNA splicing and stability.

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