How to cite this record FAIRsharing.org: CL; Cell Ontology; DOI: https://doi.org/10.25504/FAIRsharing.j9y503; Last edited: Feb. 22, 2018, 1:57 p.m.; Last accessed: Nov 14 2018 9:21 p.m.
Record updated: Jan. 22, 2018, 8:04 p.m. by Alexander_Diehl.
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No XSD schemas defined
Conditions of UseApplies to: Data use
Logical development of the cell ontology.
Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD
BMC Bioinformatics 2011
The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.
Diehl AD,Meehan TF,Bradford YM,Brush MH,Dahdul WM,Dougall DS,He Y,Osumi-Sutherland D,Ruttenberg A,Sarntivijai S,Van Slyke CE,Vasilevsky NA,Haendel MA,Blake JA,Mungall CJ
J Biomed Semantics 2016
Models and Formats
No syntax standards defined
No identifier schema standards defined
ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. ModelDB is tightly coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.
Stem Cell Discovery Engine
Comparison system for cancer stem cell analysis
CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.
Rat Genome Database
The Rat Genome Database is the premier site for genetic, genomic, phenotype, and disease data generated from rat research. It provides easy access to corresponding human and mouse data for cross-species comparison and its comprehensive data and innovative software tools make it a valuable resource for researchers worldwide.
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
This record is not implemented by any policy.