Discover Phenome 2018: Session III
DATA CRUNCHING AND NEW ANALYTICS
While the ability to generate large quantities of phenotypic data has blossomed, techniques for extracting, interpreting, and maintaining meaningful data have lagged. The Data Crunching and New Analytics session of Phenome 2018 will address these issues as presenters incorporate computer science, engineering, and mathematics to address important biological questions.
In some research fields, complex plant structural traits are still determined using time-intensive manual measurements, but the use of new analytical methods enables extracting useful information from phenotypic data. Computer engineer Amy Tabb (United States Department of Agriculture-Agricultural Research Service) will discuss a system to automate phenotypic measurements in her talk “Phenotyping tree shape in the field using computer vision and robotics”. In her talk “Using mathematics to dissect and quantify the plant form, above and belowground”, Mao Li (Donald Danforth Plant Science Center) will also explain how she uses her skills as a mathematician to extract phenotypic information across plant organs and scales using persistent homology.
Data interpretation and fusion
Data management and sharing
While data extraction and fusion lead to important connections between phenotypes, genotypes, and the environment, maintaining these large data sets and making them accessible to a broader audience remains a challenge. Keynote speaker Sotos Tsaftaris (University of Edinburgh) will discuss how he applies his expertise in medical image analysis and machine learning towards phenotyping plants and making the technology accessible to researchers across the globe.
From the ecological standpoint, Rob Guralnick (University of Florida) will explain how he uses and improves the quality of environmental data, including biodiversity distributions, to examine changes in species diversity while making the data available and useful to others.
GENERAL SESSION III: Data Crunching and New Analytics, will take place Saturday, Feb. 17, 2018. Concurrent Sessions will also focus on this topic; submit your abstract by December 1st to be considered for a talk.