DOSA (Discovery Of SPARC data Application)

DOSA is an application that allows the user to find data on the Blackfynn data platform. The user can select a file containing a set of terms that are either user-generated or from the SPARC terminology and the application will query SPARC-related projects on the Blackfynn platform for similar models. The percentage overlap between the terms and the models of relevant datasets will be returned. The code create_model read in terms from a file that constitutes a model and will create that model with the properties and relationships taken from the contents of the terms in the file. The format of the file is: relationships,...,classes,... where each term in the given category is on a new line.

Project was built during the 2018 SPARC Hackathon in Bethesda, MD.

Project team (in alphabetical order): Karl G. Helmer (MGH) Maria Jimenez-Gonzalez (Mount Sinai) Rosemary Li (Mount Sinai) Larry Miller (Feinstein Institute) Kendall Morris (University of South Florida) Alison Moss (Thomas Jefferson University) Anil Vegesna (Feinstein Institute)