Standards > terminology artifact > bsg-s000011


ready Foundational Model of Anatomy

Abbreviation:FMA


General Information
The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species


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Record updated: Oct. 7, 2016, 10:24 a.m. by The FAIRsharing Team.


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FMA Ontology Display

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Implementing Databases (4)
Stem Cell Discovery Engine
Comparison system for cancer stem cell analysis

CellFinder
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.

The Cardiovascular Research Grid
The CardioVascular Research Grid (CVRG) project is creating an infrastructure for sharing cardiovascular data and data analysis tools. CVRG tools are developed using the Software as a Service model, allowing users to access tools through their browser, thus eliminating the need to install and maintain complex software.

SICAS medical image repository
The Sicas Medical Image Repository is a centralized storage system where the data such as Images, Segmentations, SSM can be used to build and shared statistical shape models. Dicom, ITK based images and statistical models in the statismo format can be stored on SMIR.

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Grant Number(s)

  • LM 03528 (U.S. National Library of Medicine)

  • LM 06822 (U.S. National Library of Medicine)


Publications

A reference ontology for biomedical informatics: the Foundational Model of Anatomy.

Rosse C,Mejino JL Jr
J Biomed Inform 2004

View Paper (PubMed) View Paper (DOI)