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WORLDCOMP'15 Tutorial: William Yang & Prof. Kenji Yoshigoe

Last modified 2015-07-12 11:20

Integrative Big-data Analysis for Translational Genomics Research

William Yang 1 & Prof. Kenji Yoshigoe 2


1 NSF Research Trainee and Scholar
Texas Advanced Computing Center, University of Texas, USA

2 Director of National Center of Academic Excellence in Cyber Defense Education
University of Arkansas, USA


Date & Time: July 30, 2015 (03:40pm - estimated duration: about 1+ hour)
Location: Gold Room

Abstract

    The Advent of next-generation sequencing (NGS) technologies opens new opportunities in big-data genomics research. An objective of our research is to develop the computational intelligence based big-data technologies to improve the acquisition, analysis, integration and utilization of different genomic data. In this tutorial, we will present advances in NGS that can facilitate the identification of biomarkers and drug targets. As massive short reads can be generated by whole genome/transcriptome deep-sequencing, we will introduce efficient data storage, sharing and processing to facilitate subsequent downstream analysis. We will also present a broad range of software and methods for the above tasks. As the choice of appropriate algorithms can have a significant impact on the analytic results, first we will present a computational framework that allows users to easily adopt different applications and offer an effective data storage, sharing, management and analysis platform. Moreover, large-scale and high-dimensional data enable data-driven computational models; hence we will present gene network-based approaches to identify biomarkers and pathways by combining transcriptome and protein-protein interaction data. Our newly developed streamlined computational strategies can help to efficiently utilize high-dimensional data to provide computational solutions. This tutorial will present how different genomic big-data can be combined to solve significant biological problems utilizing high-performance computing and computational intelligence approaches.



Biography of Instructors

    William Yang is a NSF Research Trainee and Research Scholar at Texas Advanced Computing Center (TACC) of University of Texas at Austin for the NSF iPlant genomics project. William has published extensively in both computer science and biomedical sciences. His collaborative research in the interdisciplinary computer science and biomedical science fields received recognitions, and one of his award-winning highly accessed articles (http://www.GenomeBiology.com/1471-2105/15/S17/S2) was selected by Harvard University in Cambridge, Massachusetts for open digital access to scholarships (http://dash.Harvard.edu/bitstream/handle/1/14065393/4304191.pdf). William is currently conducting research at the University of Texas at Austin with Dr. Matthew Vaughn, Co-PI of NSF iPlant and Director of TACC Life Science Computing, on integrative genomics, and causes and consequences of epigenetic variation in maize..

    Prof. Kenji Yoshigoe is the Director of National Center of Academic Excellence in Cyber Defense Education (CAE-CDE), Professor and Chair of Computer Science Department at University of Arkansas at Little Rock (UALR), and the Director of UALR Computational Research Center. His research explores various interconnected systems ranging from tightly-coupled high performance computing systems to resource-constrained wireless sensor networks to dynamically evolving social networks. His research has been supported by multiple federal agencies including NSF, DOD, and NIH. During his tenure as department chair, the department has been ranked as one of The 50 Most Innovative Computer Science Departments in United States. (http://www.computersciencedegreehub.com/50-innovative-computer-science-departments/).

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