"The bioinformatics features and functionality within the MBF equipped us with pre-existing functions so we didn't have to re-invent the wheel," said Jeremy Kolpak, senior analyst at Johnson & Johnson Pharmaceutical Research and Development. "Ultimately, it saved us a tremendous amount of time, allowing us to focus on the development of higher-level analysis and visualization capabilities, and delivering them faster to our scientists, thus improving their ability to make data-driven discoveries and critical diagnoses."
Another service available for researchers leverages MODISAzure and was created by Dennis Baldocchi, biometeorologist at U.C. Berkeley, Youngryel Ryu, biometeorologist at Harvard University, and Catharine van Ingen, Microsoft eScience researcher. This MODISAzure-based environmental service combines state-of-art biophysical modeling with a rich cloud-based dataset of satellite imagery and ground-based sensor data to support global-scale carbon-climate science synthesis analysis.
Using this research, scientists from different disciplines can share data and algorithms to better understand and visualize how ecosystems behave as climate change occurs. This service is built on MODISAzure, an image-processing pipeline on the Microsoft Windows Azure cloud computing platform.
"To study Earth science we need to have systems that are everywhere, all of the time, and today with our MODISAzure-based environmental service, we have taken a giant step toward that goal," Baldocchi said.
Available under an open source license, the MBF is freely downloadable at http://research.microsoft.com/bio.
Microsoft organizes the eScience Workshop. This
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