The Generic Model Organism Project (GMOD) is a joint effort by the model organism system databases WormBase, FlyBase, MGI, SGD, Gramene, Rat Genome Database, EcoCyc, and TAIR to develop reusable components suitable for creating new community databases.
The Ontology for Biomedical Investigations (OBI) project is developing an integrated ontology for the description of biological and medical experiments and investigations. This ontology will support the consistent annotation of biomedical investigations, regardless of the particular field of study.
The Institute for Formal Ontology and Medical Information Science (IFOMIS) comprises an interdisciplinary research group with members from Philosophy, Computer and Information Science, Logic, Medicine, and Medical Informatics, focusing on theoretically grounded research in both formal and applied ontology.
The Microarray Gene Expression Data (MGED) Society is an international organisation of biologists, computer scientists, and data analysts that aims to facilitate the sharing of microarray data generated by functional genomics and proteomics experiments.
The Ontology Lookup Service is a spin-off of the PRIDE project, which required a centralized query interface for ontology and controlled vocabulary lookup. While many of the ontologies queriable by the OLS are available online, each has its own query interface and output format. The OLS provides a web service interface that allows multiple ontologies to be queried from a single location with a unified output format.
The Plant Ontology Consortium (POC) aims to develop, curate and share structured controlled vocabularies (ontologies) that describe plant structures and growth/developmental stages. Through this effort, the project aims to facilitate cross-database querying by fostering consistent use of these vocabularies in the annotation of tissue and/or growth stage specific expression of genes, proteins and phenotypes.
The HUPO Proteomics Standards Initiative (PSI) defines community standards for data representation in proteomics to facilitate data comparison, exchange and verification. It is also compiling guidelines for the development of Controlled Vocabularies.
SOFG is both a meeting and a website; it aims to bring together biologists, bioinformaticians, and computer scientists who are developing and using standards and ontologies with an emphasis on describing high-throughput functional genomics experiments.