View source for File:Phenoscape Project description refs.pdf

This is the project description (including references) of our funded 2010 NSF ABI submission, titled "Ontology-enabled reasoning across phenotypes from evolution and model organisms".  The grant was funded in 2011 after significant budget cuts, and so the now effective development plan is revised compared to the one described and depicted in the original project description. Specifically, relative to the original proposal the support for curation, particularly in the model organism databases, is significantly reduced.  This will impact our ability to respond as any problems arise with integration of the evolutionary data and somewhat compromise our ability to rigorously evaluate the tools being developed. Additionally, we scaled back the development goals for the semantic similarity search engine, for which we now limit our focus to achieving scalability and speedup.  I.e., we no longer anticipate to create a tool that is generically installable and applicable to any knowledgebase of EQ-formatted observations, but will instead focus on making the search engine work at the scale and speed necessary for employing it within the web-based user-interface to the Phenoscape Knowledgebase. We have also frontloaded the plans for execution of the NLP work to achieve a scalable workflow as early as possible in the process.

Personnel on this grant:
Paula Mabee (University of South Dakota) and Todd Vision (University of North Carolina Chapel Hill, National Evolutionary Synthesis Center) are the Principal Investigators of this collaborative project. Co-principal investigators are David Blackburn (California Academy of Sciences), Judith Blake (Mouse Genome Informatics, Jackson Laboratories), Hilmar Lapp (NESCent), Paul Sereno (University of Chicago), Monte Westerfield (University of Oregon, ZFIN), and Aaron Zorn (Xenbase, Cincinnati's Children's Hospital and Medical Center) (see their [[Contact| contact addresses]]).