Prof. Ming Chen, PhD
Department of Bioinformatics, Zhejiang University
Plenary Talk: Integrative bioinformatics approaches towards whole plant cell modeling
Abstract: Multi-omics data brings us a challenge to develop appropriate integrateive bioinformatics approaches to model complex biological systems at spatial and temporal scales. In this talk, we will describe multi-omics data available for rice cellular interactome modeling. Biological networks on multiple levels such as gene regulations, protein interactions, noncoding RNA regulations and metabolic reactions are reconstructed. A systematic identification and quantification of rice proteins in various tissues and organs are introduced. To better understand the interactions of proteins in rice, we developed PRIN, a predicted rice interactome network. We presented a novel integrative approach (PSI) that derives the wisdom of multiple specialized predictors via a joint-approach of group decision making strategy and machine learning methods to achieve better prediction results of protein subcellular localization. A genome-wide multiple level of interactome model of rice is integratively built. Furthermore, a database RiceNetDB is developed for systematically storing and retrieving the genome-scale multi-level network of rice to facilitate biomolecular regulatory analysis and gene-metabolite mapping. A virtual rice cell model in three dimensions will be developed via international collaborations. Our ultimate goal is to build such a whole plant cell model that can describe how phenotype arises from genotype.