ProbOnto: ontology and knowledge base of probability distributions
Motivation: Probability distributions play a central role in mathematical and statistical modelling. The encoding, annotation and exchange of such models could be greatly simplified by a resource providing a common reference for the definition of probability distributions. Although some resources exist, no suitably detailed and complex ontology exists nor any database allowing programmatic access.
Results: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 80 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities.
Availability and Implementation: http://probonto.org
Contact: mjswat@ebi.ac.uk
Supplementary information: Supplementary data are available at Bioinformatics online.
Source: Bioinformatics - Category: Bioinformatics Authors: Swat, M. J., Grenon, P., Wimalaratne, S. Tags: DATABASES AND ONTOLOGIES Source Type: research