Thursday, October 4, 2012

eScience Seminar, Wednesday, October 10 in EE303

Please join us October 10th, 4-5pm in EE303. Refreshments (drinks and pizza) will be provided.

*Francois Ribalet** (UW, Oceanography)*

Francois Ribalet received his Ph.D. from the Open University of London, UK, and the Stazione Zoologica Anton Dohrn in Naples, IT, where he first began to study the microbial ecology of marine ecosystems. He conducted postdoctoral research at the University of Washington, where he examined how physical and chemical gradients influence the distribution, abundance and activity of microbial communities. He uses advanced technology for the automated measurement of microbial populations and their activity at the single cell level, and develops tools to facilitate the analysis of the high volume of flow cytometry data. His current research focuses on determining the selective forces that shapes the patterns of microbial communities across ocean basins.

*Unveiling the Dynamics of Microscopic Algae Populations Across Ocean Basins at Sub-kilometer-resolution.*

Microscopic algae anchor the oceanic food web and are responsible for the majority of our planet’s oxygen. About 50% of organic carbon production on Earth occurs within the ocean and the vast majority of this organic carbon is generated and recycled by these small microorganisms. Being able to readily detect and track these microorganisms is critical for understanding their impact in the oceans and global biogeochemical cycles. I will present SeaFlow, a new flow cytometer developed at the UW, that measures continuously the size and pigment composition of individual microorganisms present in a sample of seawater at the rate of thousands of cells per second. To date, SeaFlow has covered 60,000 km and characterized over 200 billions of cells collected in different parts of the oceans. I will explain how this high-resolution data set is allowing us to discover unexpected gradients of microbial cell diversity and to better understand the dynamics of microbial populations across ocean basins. I will also describe some of the tools we developed to automate the analysis of flow cytometry data and visualize the data in real-time. Finally, I will present how we are incorporating our existing cyberinfrastructure into eScience’s collaborative database system, known as SQLshare, to meet our long-term goal of managing, integrating, and sharing increasing oceanographic data.

*Upcoming Seminar:*

* November 14, 4 PM (EE303)

*Ian Gorton * (PNNL)

Velo: A Knowledge Management Framework for Modeling and Simulation