The Fifth Annual Summit of the Phenotype Ontology Research Coordination Network will be held at the University of Arizona’s Biosphere 2, about 40 miles north of Tucson, AZ, from February 26-28, 2016 (Friday through Sunday noon).
The theme of this meeting will be ‘Complex data integration with phenotypes’ with a focus on the integration of phenotype data with other data sets. We will summarize where our phenotype community is at with respect to integration with other data types, and we will highlight active projects. We will be looking to the future — what projects should be priorities for the future? Joining us this year will be folks from the newly funded ‘FuturePhy’ (futurephy.org), who are interested in how to integrate multiple data types, including phenotype, with phylogenetic trees.
We estimate that the costs for this meeting (transportation to meeting from airport, lodging, food) will be approximately $500, though we will be able to cover expenses for a small number of participants, particularly students and postdocs who have specific interests in using phenotypic data associated with environment in their research. Please contact one of us if you are interested in attending. It should be agreat meeting!
Paula Mabee; firstname.lastname@example.org
Eva Huala; email@example.com
Andy Deans; firstname.lastname@example.org
Suzanna Lewis; email@example.com
The Phenotype Ontology RCN (http://phenotypercn.org) was funded by the U.S. NSF to establish a network of scientists who are interested incomparing phenotypes across species and in developing the tools and methods needed to enable comparisons. In contrast to the many well-established efforts in the molecular community, the representation of phenotypic traits using ontologies is in its infancy. Phenotype ontologies, however, have the potential to integrate these data across all levels of the biological hierarchy and to the environment. This RCN is building a community that, because of its expertise, fosters communications across disciplines to enable co-development of interoperable community standards and best practices for phenotype.