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How are gene ontology chord explained? 


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Gene ontology is explained through the Gene Ontology (GO) project, which is a comprehensive resource for cataloguing gene function. The GO provides a structured ontology that describes and classifies gene products in a computationally accessible manner. It combines solid conceptual underpinnings with practical features, making it widely adopted in the research community for data analysis . The GO Consortium has made advancements in the annotation framework, resulting in a large repository of GO-CAMs that can be checked and validated . The consortium has also increased the number of GO annotations, annotated gene products, and scientific articles annotated. Efforts are made to review older annotations and maintain consistency with other ontologies . Ontologies are used in biology to organise, describe, and analyse data, with roots in logic-based artificial intelligence. They enable automated inference and error detection . The GOC provides a community-based resource for classifying gene product function through structured, controlled vocabularies. It has implemented processes to increase the quantity, quality, and specificity of GO annotations, including manual literature-based annotations and homology-based annotations .

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Open accessJournal ArticleDOI
Judith A. Blake, Mary E. Dolan, H. Drabkin, David P. Hill, Li N, D. Sitnikov, Susan M. Bridges, Shane C. Burgess, Teresia Buza, Fiona M. McCarthy, Divyaswetha Peddinti, Lakshmi Pillai, Seth Carbon, Heiko Dietze, Amelia Ireland, Suzanna E. Lewis, Christopher J. Mungall, Pascale Gaudet, Chrisholm Rl, Petra Fey, Warren A. Kibbe, S. Basu, Deborah A. Siegele, B. K. McIntosh, Daniel P. Renfro, Adrienne E. Zweifel, James C. Hu, Nicholas H. Brown, Susan Tweedie, Yasmin Alam-Faruque, Rolf Apweiler, A. Auchinchloss, Kristian B. Axelsen, Benoit Bely, M. C. Blatter, Bonilla C, Bouguerleret L, Emmanuel Boutet, Lionel Breuza, Alan Bridge, W. M. Chan, Gayatri Chavali, Elisabeth Coudert, E. Dimmer, Anne Estreicher, L Famiglietti, Marc Feuermann, Arnaud Gos, Nadine Gruaz-Gumowski, Hieta R, Hinz C, Chantal Hulo, Rachael P. Huntley, J. James, Florence Jungo, Guillaume Keller, Kati Laiho, Duncan Legge, P. Lemercier, Damien Lieberherr, Michele Magrane, Maria Jesus Martin, Patrick Masson, Mutowo-Muellenet P, Claire O'Donovan, Ivo Pedruzzi, Klemens Pichler, Diego Poggioli, Porras Millán P, Sylvain Poux, Catherine Rivoire, Bernd Roechert, Tony Sawford, Michel Schneider, Andre Stutz, Shyamala Sundaram, Michael Tognolli, Ioannis Xenarios, Foulgar R, Jane Lomax, Paola Roncaglia, Varsha K. Khodiyar, Ruth C. Lovering, Philippa J. Talmud, Marcus C. Chibucos, Giglio Mg, Hsin-Yu Chang, Sarah Hunter, Craig McAnulla, Alex L. Mitchell, Sangrador A, Stephan R, Midori A. Harris, Stephen G. Oliver, Kim Rutherford, Wood, Jürg Bähler, Antonia Lock, Paul J. Kersey, McDowall Dm, Daniel M. Staines, Melinda R. Dwinell, Mary Shimoyama, Stan Laulederkind, Tom Hayman, Shur-Jen Wang, Timothy F. Lowry, P D'Eustachio, Lisa Matthews, Rama Balakrishnan, Gail Binkley, J. M. Cherry, Maria C. Costanzo, Selina S. Dwight, Engel, Dianna G. Fisk, Benjamin C. Hitz, Eurie L. Hong, Kalpana Karra, Miyasato, Robert S. Nash, Julie Park, Marek S. Skrzypek, Shuai Weng, Edith D. Wong, Tanya Z. Berardini, Eva Huala, Huaiyu Mi, Paul Thomas, Juancarlos Chan, Ranjana Kishore, Paul W. Sternberg, Van Auken K, Doug Howe, Monte Westerfield 
492 Citations
The provided paper does not explain how gene ontology chords are explained. The paper primarily focuses on the processes and improvements made by the Gene Ontology Consortium in classifying gene product function through structured vocabularies.
Open accessBookDOI
Christophe Dessimoz, Nives Škunca 
24 Feb 2017
94 Citations
The provided paper does not explain how gene ontology chords are explained. The paper primarily focuses on the use of ontologies in biology and their computational applications.
Open accessJournal ArticleDOI
Seth Carbon  +179 more
1.9K Citations
The provided paper does not explain how gene ontology chords are explained. The paper primarily focuses on the advancements and developments in the Gene Ontology resource, including the curation of GO-CAM models, refinement of the ontology, improvement of annotations, and the redesign of the website.
The paper explains that the Gene Ontology (GO) is a controlled vocabulary of terms that represent biology in a structured way. The terms are subdivided into three ontologies: Molecular Function (MF), Biological Process (BP), and Cellular Component (CC).
The paper explains that the Gene Ontology (GO) is a controlled vocabulary of terms that represent biology in a structured way. The terms are subdivided into three ontologies: Molecular Function (MF), Biological Process (BP), and Cellular Component (CC).

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