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Presentation
Big Data (in Biology): Integrating Large, Fast Moving, Heterogenous Datasets
EPA Air Sensors 2013: Data Quality & Applications (2013)
  • Adina Howe, Argonne National Laboratory
Abstract
The scale at which DNA sequencing technology can accomplish data generation in biology has transformed how the field must analyze and integrate datasets. We'll discuss the challenges and opportunities of heterogeneous biological data integration. Specific case studies of integrative platform efforts will be presented including the community tool provided by the Department of Energy Knowledgebase and the development of executable publications and data reuse. Through these examples, we will address some of the typical solutions, failure points, and success stories of data integration approaches.
Publication Date
March 19, 2013
Citation Information
Adina Howe. "Big Data (in Biology): Integrating Large, Fast Moving, Heterogenous Datasets" EPA Air Sensors 2013: Data Quality & Applications (2013)
Available at: http://works.bepress.com/adina/20/