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Biological Ontology

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lightbulbAbout this topic
Biological ontology is a formal representation of biological concepts and their relationships, structured to facilitate data sharing, integration, and analysis in biological research. It provides a controlled vocabulary and framework for organizing biological knowledge, enabling consistent interpretation and communication across various biological disciplines.
lightbulbAbout this topic
Biological ontology is a formal representation of biological concepts and their relationships, structured to facilitate data sharing, integration, and analysis in biological research. It provides a controlled vocabulary and framework for organizing biological knowledge, enabling consistent interpretation and communication across various biological disciplines.

Key research themes

1. How can biological ontologies be effectively structured, integrated, and utilized to enhance biomedical data access and interoperability?

This research area focuses on developing frameworks, repositories, and tools that facilitate the creation, management, integration, and semantic querying of biological and biomedical ontologies. The aim is to improve accessibility, interoperability, and consistency of heterogeneous biomedical data across resources and applications, fostering advancements in data-driven biological research and biomedical informatics.

Key finding: BioPortal provides an openly accessible web-based repository that hosts over 140 biomedical ontologies with more than 700,000 classes, supporting multiple ontology formats (OWL, RDF, OBO) and enabling browsing, search,... Read more
Key finding: Expanding on the BioPortal infrastructure, this work demonstrates its capabilities in ontology navigation, visualization (including Jambalaya visualization), community engagement through marginal notes and peer reviews, and... Read more
Key finding: BioGateway aggregates multiple biological ontologies and bioinformatics resources into an integrated RDF store enhanced with a scaffold of relation ontologies, enabling semantic queries and reasoning for systems biology... Read more
Key finding: This work synthesizes the principles, methods, methodologies, tools, and languages foundational to developing ontologies in biomedicine and life sciences, emphasizing ontologies as reusable, sharable artifacts specified in... Read more

2. What approaches and frameworks enable the creation, evaluation, and refinement of biomedical ontologies for improved quality and usability?

This line of research addresses the methodological and evaluative challenges in biomedical ontology development, seeking strategies to ensure ontologies meet application requirements, maintain consistency, and support complex biological knowledge representation. Topics include evaluation frameworks, quality assurance practices, ontology merging, and the integration of domain expertise to improve ontology accuracy, interoperability, and application effectiveness.

Key finding: This study categorizes ontology evaluation methods into comparison against gold standards, application-based evaluation, coverage analysis, and manual expert reviews. It emphasizes the distinction between ontology... Read more
Key finding: The Ontology for Biobanking (OBIB) results from merging two ontologies (OMIABIS and Biobank Ontology) using a modular approach, addressing diverse biobank user scenarios by enabling semantic integration of biobank data across... Read more
Key finding: This paper proposes a framework employing an upper-level ontology abstraction comprising data, method, and container concepts to enable domain scientists to document systematically how data are captured and transformed within... Read more

3. How do ontologies specifically enhance the representation, integration, and semantic analysis of biological entities and functions such as genes, chemicals, and cell types?

Research under this theme investigates ontological frameworks and knowledgebases tailored to represent biological functions, molecular entities, chemicals, and neuronal cell types, focusing on structured annotation, causal modeling, and interoperability with experimental data. This includes development of gene function ontologies, chemical functional ontologies, and data-driven cell type ontologies that integrate multimodal information and support hypothesis generation in biology and neuroscience.

Key finding: The Gene Ontology Consortium enhanced the GO knowledgebase by expanding GO-Causal Activity Models (GO-CAMs) to integrate standard GO annotations into computable causal networks, applying Shape Expressions (ShEx) to validate... Read more
Key finding: This review details the comprehensive updates to the GO knowledgebase, including the increased number of ontology terms and relationships, more extensive annotations covering diverse organisms, and refinement of GO-CAMs to... Read more
Key finding: ChemFOnt provides an extensive, FAIR-compliant OWL-compatible ontology that captures functional and origin-based classifications for over 341,000 biologically relevant chemicals, including metabolites, drugs, and... Read more
Key finding: This work presents a scalable, template-driven ontology generation pipeline applied to BICCN data, enabling the construction of a data-linked cell type ontology (BDSO) that integrates transcriptomic cluster classifications... Read more
Key finding: The RNA Ontology Consortium proposes an integrated RNA Ontology (RO) framework that offers a shared, structured vocabulary for describing RNA sequence, secondary and tertiary structure, and dynamics, enabling interoperable... Read more

All papers in Biological Ontology

This paper proposes a unified theoretical framework—Causal Life Theory—that reconceptualizes genetic information as a recursive causal field underpinning biological memory, system stability, and evolution. Building on the Causal... more
The aim of the RNA Ontology Consortium (ROC) is to create an integrated conceptual framework—an RNA Ontology (RO)—with a common, dynamic, controlled, and structured vocabulary to describe and characterize RNA sequences, secondary... more
nigdy osobiście się nie spotkali. Gdy w 1941 roku, krótko przed tym, jak wojska hitlerowskie dokonały agresji na Związek Radziecki, Lorenz pisał w Królewcu obszerny artykuł Kants Lehre vom Apriorischen im Lichte gegenwärtiger Biologie 1... more
Following Ernst Haeckel and many other fin-de-siecle scientists, Freud conceived mankind's oldest ancestor to be an urmetazoan, or "first animal," a microorganism whose primary organ was its stomach. This primeval organ began as a simple... more
The diversity of objects and concepts in biological chemistry can be reflected in the number of ways used to describe an ‘elementary’ biochemical event such as enzymatic reaction. The terminology used in publications or biological... more
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