Ontologies in modelling and analysing of big genetic data

To systematize and effectively use the huge volume of experimental data accumulated in the field of bioinformatics and biomedicine, new approaches based on ontologies are needed, including automated methods for semantic integration of heterogeneous experimental data, methods for creating large knowl...

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Bibliographic Details
Main Authors: N. L. Podkolodnyy, O. A. Podkolodnaya, V. A. Ivanisenko, M. A. Marchenko
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2025-01-01
Series:Вавиловский журнал генетики и селекции
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Online Access:https://vavilov.elpub.ru/jour/article/view/4415
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