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  1. 1121
    “…For the purpose of assisting farmers in planning decisions and monitoring, we developed the Crop Planning and Production Process Ontology (C3PO), i.e., a representation of agricultural knowledge and data for diversified crop production. …”
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    C3PO: a crop planning and production process ontology and knowledge graph
  2. 1122
    “…We use the eVOC anatomical ontology to integrate text-mining of biomedical literature and data-mining of available human gene expression data. …”
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    Integration of text- and data-mining using ontologies successfully selects disease gene candidates
  3. 1123
    “…However, standards for generating such process ontologies are not widely adopted for experimental materials domains. …”
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    Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors
  4. 1124
    “…CONCLUSION: The IEDB's ontology is the first ontology specifically designed to capture both intrinsic chemical and biochemical information relating to immune epitopes with information relating to the interaction of these structures with molecules derived from the host immune system. …”
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    An ontology for immune epitopes: application to the design of a broad scope database of immune reactivities
  5. 1125
    “…Each scientific community tends to create its own locally available ontology. The interfaces to query these ontologies tend to vary from group to group. …”
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    The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries
  6. 1126
    “…By measuring the similarity between two Gene Ontology (GO) terms with a relative specificity semantic relation, here, we proposed a new method of reconstructing a yeast protein–protein interaction map that is solely based on the GO annotations. …”
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    Prediction of yeast protein–protein interaction network: insights from the Gene Ontology and annotations
  7. 1127
    por Lewin, Alex, Grieve, Ian C
    Publicado 2006
    “…BACKGROUND: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. …”
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    Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
  8. 1128
    “…Information about these genes is increasingly being captured and organized in ontologies, such as the Gene Ontology. Relationships between the gene sets identified by experimental methods and biological knowledge can be made explicit and used in the interpretation of results. …”
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    FUNC: a package for detecting significant associations between gene sets and ontological annotations
  9. 1129
    “…BACKGROUND: Interpretation of transcriptomic data is usually made through a "standard" approach which consists in clustering the genes according to their expression patterns and exploiting Gene Ontology (GO) annotations within each expression cluster. …”
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    A transversal approach to predict gene product networks from ontology-based similarity
  10. 1130
    por Mahdavi, Mahmoud A, Lin, Yen-Han
    Publicado 2007
    “…Depending on the employed PPI-predicting methods, the strength varies between two and ten-fold of randomly removing protein pairs from the datasets. CONCLUSION: Gene Ontology annotations along with the deduced knowledge rules could be implemented to partially remove false predicted PPI pairs. …”
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    False positive reduction in protein-protein interaction predictions using gene ontology annotations
  11. 1131
    “…CONCLUSIONS: Argumentative representation levels and conceptual density estimation using Gene Ontology contents appear complementary for functional annotation in proteomics.…”
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    Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction
  12. 1132
    Publicado 2005
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    A Special Section of Articles From the 8(th) Annual Bio-Ontologies Meeting
  13. 1133
    “…The framework can be applied to other problems to efficiently integrate ontology information and expression data in order to identify feature genes.…”
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    A Novel Method Incorporating Gene Ontology Information for Unsupervised Clustering and Feature Selection
  14. 1134
    “…RESULTS: Here we present a new algorithm, termed GO Explorer (GOEx), that leverages the gene ontology (GO) to aid in the interpretation of proteomic data. …”
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    GO Explorer: A gene-ontology tool to aid in the interpretation of shotgun proteomics data
  15. 1135
    “…Previously, many of these common processes did not have corresponding Gene Ontology (GO) terms. For example, no GO terms existed to describe processes related to the appressorium, an important structure for infection by many fungi and oomycetes. …”
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    Common processes in pathogenesis by fungal and oomycete plant pathogens, described with Gene Ontology terms
  16. 1136
    “…Phenotypes can be described using ontologies in two differing methodologies. Traditionally an individual phenotypic character has either been defined using a single compound term, originating from a species-specific dedicated phenotype ontology, or alternatively by a combinatorial annotation, using concepts from a range of disparate ontologies, to define a phenotypic character as an entity with an associated quality (EQ). …”
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    Practical application of ontologies to annotate and analyse large scale raw mouse phenotype data
  17. 1137
    “…A widely accepted approach to solve these issues has been the creation and use of controlled vocabularies (ontologies). Ontologies allow for the formalization of domain knowledge, which in turn enables generalization in the creation of querying interfaces as well as in the integration of heterogeneous data, providing both human and machine readable interfaces. …”
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    Orymold: ontology based gene expression data integration and analysis tool applied to rice
  18. 1138
    “…Summary: We present a web-based service, SimCT, which allows to graphically display the relationships between biological objects (e.g. genes or proteins) based on their annotations to a biomedical ontology. The result is presented as a tree of these objects, which can be viewed and explored through a specific java applet designed to highlight relevant features. …”
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    SimCT: a generic tool to visualize ontology-based relationships for biological objects
  19. 1139
    “…Phylogenetic trees of gene families form the basis for PANTHER and these trees are annotated with ontology terms describing the evolution of gene function from ancestral to modern day genes. …”
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    PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium
  20. 1140
    por Rodrigues, J
    Publicado 2010
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    ICD-11 revision: where are we now? Ontology-driven tools and the web platform
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