Project Description

Professor Yaoqi Zhou

 

Institute for Glycomics
Griffith University

Personalised medicine: Discriminating disease-causing from neutral genetic variations

Bioinformatics methods, models and applications to disease

Tuesday 5 July 2016

Personalised medicine predicts the likelihood of various diseases based on individual’s genomic, proteomic and metabolomic data and eliminates disease risks by designing individualised prevention programs and precision medicine. This talk will focus on an important subject in personalised medicine: How to discriminate disease-causing from neutral genetic variations. We will discuss issues involving in setting up the dataset, designing discriminative features, and minimising the risk of over-training.

Prof Yaoqi Zhou received his BS in Chemical Physics from University of Science and Technology of China and PhD in chemical physics from State University of New York at Stony Brook, USA in 1990. He conducted his postdoctoral studies at North-Carolina State University and Harvard University. He was an Assistant Professor and later Associate Professor at Department of Physiology and Biophysics, State University of New York at Buffalo, USA, from 2000 to 2006, and a full Professor at Schools of Medicine and Informatics, Indiana University, Indianapolis, USA, from 2006 to 2013.

He joined the Institute for Glycomics at Griffith University as a Professor of Computational Biology in 2013. His group has developed more than 10 popular bioinformatics tools in protein and RNA structure and function prediction. His current projects include development of computational algorithms and bioinformatics techniques that predict structural and functional properties of proteins and RNAs, discriminate disease-causing from neutral genetic variations, and design small molecules and peptides for antibiotic, antiviral and anti-cancer therapeutics.