Date: Tuesday, 7 June 2016, 10 am (Manila Time)


Modern genomics research requires complex computational processing to integrate, analyze, and extract meaning from large, disparate datasets. While a multitude of commercial and open source bioinformatics applications are available, it is difficult to assemble a collection of tools that work together seamlessly to perform the required analysis. Even more difficult is performing analysis in a manner that documents the data, algorithms, and processing steps such that the results are easily published and reproducible. Galaxy ( is a popular open source, web-based bioinformatics platform for conducting genomics research that helps with these issues. This seminar will provide an overview of the Galaxy platform with demonstrations of how to: find and install various plug-in tools, run a multi-step analysis, collect and publish an analysis history, and create repeatable workflows. In addition, we will discuss how to implement/integrate your own custom tools in the framework and will review some of the advanced tools for heat maps and variant annotation that we have implemented/integrated into Galaxy.

michael_ryanDr. Michael Ryan

President / Chief Scientist
In Silico Solutions
301 Hartford Rd., Suite 301
Falls Church, VA 22043, USA

About the Speaker

Dr. Michael Ryan received his B.S. degree in Computer Science from William and Mary College in 1988. He spent 18 years as a commercial software developer in a variety of industries and founded a successful software consulting company that he grew to 35+ staff and sold in 2011. Dr. Ryan earned a PhD in Bioinformatics from George Mason University in 2009 and founded a second company, In Silico Solutions, which is focused on providing bioinformatics analysis and software development services. Under his direction, In Silico solutions has established a reputation for bringing professional software development practices to the bioinformatics space and for developing tools with intuitive, compelling user interfaces. In Silico solutions works in collaboration with MD Anderson Cancer Center, Johns Hopkins University, and the National Cancer Institute to develop a range open source tools for genomics researchers.

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