December 11, 2014 - 10:00am PST
Omicseq: a genomics BigData search engine and knowledge discovery system - Zhaohui (Steve) Qin
Abstract
There are millions of publicly available genomics datasets with more being generated daily at an accelerated pace. However, the vast majority of these datasets remain underutilized after their initial publication due to the difficulty of processing and analyzing them. Consequently there is much more information in these datasets than is being reported. Another problem is how to identify datasets that a given researcher is most interested in, which is analogous to identifying the most relevant webpages for a given domain of address. To solve these problems, we started a project named Omicseq which has two goals: 1. Build an IT infrastructure to better organize publicly available genomics data. 2. Develop an innovative biomedical data browser to efficiently browse through these datasets to identify novel biological knowledge and insights. We will discuss our current efforts and strategies for future development.
Slides: omicseq.biocaddie.steveqin.pdf
Bios
Zhaohui (Steve) Qin,
is an Associate Professor of Biostatistics and Bioinformatics at Emory University. He obtained his PhD degree in Statistics at the University of Michigan and underwent postdoc training at Harvard University. The major goal of Dr. Qin’s work is to provide analytical tools for the genetics and genomics research community. He has developed model-based methods to analyze high-throughput genomics and epigenomics data such as ChIP-Seq, RNA-Seq, BS-seq and Hi-C experiments. His current research focuses to biological big data integration and mining. In addition to method development, he has collaborated extensively with biologists and clinicians to assist their efforts of identifying novel biological insights from their experimental data.