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      My Corporis Fabrica Embryo: An ontology-based 3D spatio-temporal modeling of human embryo development

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          Abstract

          Background

          Embryology is a complex morphologic discipline involving a set of entangled mechanisms, sometime difficult to understand and to visualize. Recent computer based techniques ranging from geometrical to physically based modeling are used to assist the visualization and the simulation of virtual humans for numerous domains such as surgical simulation and learning. On the other side, the ontology-based approach applied to knowledge representation is more and more successfully adopted in the life-science domains to formalize biological entities and phenomena, thanks to a declarative approach for expressing and reasoning over symbolic information. 3D models and ontologies are two complementary ways to describe biological entities that remain largely separated. Indeed, while many ontologies providing a unified formalization of anatomy and embryology exist, they remain only descriptive and make the access to anatomical content of complex 3D embryology models and simulations difficult.

          Results

          In this work, we present a novel ontology describing the development of the human embryology deforming 3D models. Beyond describing how organs and structures are composed, our ontology integrates a procedural description of their 3D representations, temporal deformation and relations with respect to their developments. We also created inferences rules to express complex connections between entities. It results in a unified description of both the knowledge of the organs deformation and their 3D representations enabling to visualize dynamically the embryo deformation during the Carnegie stages. Through a simplified ontology, containing representative entities which are linked to spatial position and temporal process information, we illustrate the added-value of such a declarative approach for interactive simulation and visualization of 3D embryos.

          Conclusions

          Combining ontologies and 3D models enables a declarative description of different embryological models that capture the complexity of human developmental anatomy. Visualizing embryos with 3D geometric models and their animated deformations perhaps paves the way towards some kind of hypothesis-driven application. These can also be used to assist the learning process of this complex knowledge.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13326-015-0034-0) contains supplementary material, which is available to authorized users.

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          Most cited references26

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          Uberon, an integrative multi-species anatomy ontology

          We present Uberon, an integrated cross-species ontology consisting of over 6,500 classes representing a variety of anatomical entities, organized according to traditional anatomical classification criteria. The ontology represents structures in a species-neutral way and includes extensive associations to existing species-centric anatomical ontologies, allowing integration of model organism and human data. Uberon provides a necessary bridge between anatomical structures in different taxa for cross-species inference. It uses novel methods for representing taxonomic variation, and has proved to be essential for translational phenotype analyses. Uberon is available at http://uberon.org
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            The Gene Ontology in 2010: extensions and refinements

            The Gene Ontology (GO) Consortium (http://www.geneontology.org) (GOC) continues to develop, maintain and use a set of structured, controlled vocabularies for the annotation of genes, gene products and sequences. The GO ontologies are expanding both in content and in structure. Several new relationship types have been introduced and used, along with existing relationships, to create links between and within the GO domains. These improve the representation of biology, facilitate querying, and allow GO developers to systematically check for and correct inconsistencies within the GO. Gene product annotation using GO continues to increase both in the number of total annotations and in species coverage. GO tools, such as OBO-Edit, an ontology-editing tool, and AmiGO, the GOC ontology browser, have seen major improvements in functionality, speed and ease of use.
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              Pellet: A practical OWL-DL reasoner

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                Author and article information

                Contributors
                PYRabattu@chu-grenoble.fr
                masse.benoit@gmail.com
                federico.ulliana@gmail.com
                marie-christine.rousset@imag.fr
                damien.rohmer@inria.fr
                Jean-Claude.Leon@ense3.grenoble-inp.fr
                olivier.palombi@inria.fr
                Journal
                J Biomed Semantics
                J Biomed Semantics
                Journal of Biomedical Semantics
                BioMed Central (London )
                2041-1480
                24 September 2015
                24 September 2015
                2015
                : 6
                : 36
                Affiliations
                [ ]Department of Anatomy, LADAF, Université Joseph Fourier, Grenoble, France
                [ ]LJK (CNRS-UJF-INPG-UPMF), INRIA, Université de Grenoble, Grenoble, France
                [ ]LIG (CNRS-UJF-INPG-UPMF), Université de Grenoble, Grenoble, France
                [ ]CPE Lyon, Université de Lyon, Lyon, France
                Article
                34
                10.1186/s13326-015-0034-0
                4582726
                e633648c-e871-4a49-b98c-8a859465ee47
                © Rabattu et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 14 December 2014
                : 2 September 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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