Quinlan discusses computational genomics at Big Data Summit 2

The recent Big Data Summit 2 held at UVa, and hosted by UVACSE and the Office of the Vice President for Research,  included a talk on computational genomics by CPHG Assistant Professor Aaron Quinlan. The purpose of the summit was to address the issues of data, answer questions about plans for data management, analysis, and visualization, and to create opportunities for collaboration among the UVa big data community. Dr. Quinlan also recently taught a course on Informatics for High-Throughput Sequencing Data as part of the Canadian Bioinformatics Workshops (CBW) series offered by Bioinformatics.ca in Toronto, Ontario. Held in June, this course was geared for graduate students, post-doctoral fellows, clinical fellows and investigators involved in analyzing data from HT sequencing platforms. Lastly, Dr. Quinlan presented a talk on the Quinlan Lab’s new GEMINI software, a flexible Python analysis framework for exploring human genetic variation, at SciPy 2013, the 12th annual Scientific Computing with Python conference. The conference was held in Austin, Texas and gave attendees the opportunity to present their current projects, and to learn and collaborate with others who use open source Python software in the fields of mathematics, science, and engineering.

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