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ÀϽÃ: 2017. 2. 14.(È­) 10:00

¿¬»ç: Xiaohua Tony Hu (Drexel University)

Àå¼Ò: ¼­¿ï´ëÇб³ 25µ¿ 411È£

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Title: Computational Methods for Large-Scale Microbiome Data Analysis

Abstact:

We know little about microbes. Recently, huge amounts of data are generated from many microbiome projects such as the Human Microbiome Project (HMP), Metagenomics of the Human Intestinal Tract (MetaHIT),etc. These datasets provide opportunities to study the mystery of the microbial world, and analyzing these data will help us to better understand the function and structure of the microbial community of the human body, earth and other environmental eco-systems. However, the huge data volume, the complexity of the microbial community and the intricate data properties have created a lot of opportunities and challenges for data analysis and mining. In this talk, I will discuss a computational framework to tackle these challenging issues, focusing on the following three tasks: 1) visualization approaches to visualize microbiome data and to infer microbial interactions and relations; 2) computational methods for identifying and visualizing higher-order microbial interactions and relations from three types of microbiome datasets: metagenomes, bacterial genomes and literatures respectively; 3) the extracted interactions and relations from different knowledge sources will be integrated in a knowledge graph. Statistical and machine learning approaches is discussed for consistency checking of inferred microbial interactions and relations.

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Bio:

Xiaohua Tony Hu is a professor and the founding Co-Director of the NSF Center (I/U CRC) on Visual and Decision Informatics (NSF CVDI), IEEE Computer Society Bioinformatics and Biomedicine Steering Committee Chair, and IEEE Computer Society Big Data Steering Committee Chair. He joined Drexel University in 2002. Earlier, he worked as a research scientist in Nortel Research Center, and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley, California. Tony¡¯s current research interests are in data/text/web mining, big data and bioinformatics. He has published more than 270 peer-reviewed research papers in various journals, conferences and books. His research projects are funded by the National Science Foundation (NSF), US Dept. of Education, the PA Dept. of Health, the Natural Science Foundation of China (NSFC). He has obtained more than US$8.0 million research grants in the past 8 years as PI or Co-PI (PIs of 7 NSF grants, PI of 1 IMLS grant in the last 8 years), has graduated 18 Ph.D. students from 2006 to 2016, and is currently supervising 10 Ph.D. students.


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