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3 results on '"Giglio, MG."'

1. ECO: the Evidence and Conclusion Ontology, an update for 2022.

Author

Nadendla S, Jackson R, Munro J, Quaglia F, Mészáros B, Olley D, Hobbs ET, Goralski SM, Chibucos M, Mungall CJ, Tosatto SCE, Erill I, and Giglio MG

Subjects
Humans, Molecular Sequence Annotation, Computational Biology standards, Databases, Genetic, Gene Ontology, Software
Abstract

The Evidence and Conclusion Ontology (ECO) is a community resource that provides an ontology of terms used to capture the type of evidence that supports biomedical annotations and assertions. Consistent capture of evidence information with ECO allows tracking of annotation provenance, establishment of quality control measures, and evidence-based data mining. ECO is in use by dozens of data repositories and resources with both specific and general areas of focus. ECO is continually being expanded and enhanced in response to user requests as well as our aim to adhere to community best-practices for ontology development. The ECO support team engages in multiple collaborations with other ontologies and annotating groups. Here we report on recent updates to the ECO ontology itself as well as associated resources that are available through this project. ECO project products are freely available for download from the project website (https://evidenceontology.org/) and GitHub (https://github.com/evidenceontology/evidenceontology). ECO is released into the public domain under a CC0 1.0 Universal license., (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Published
2022
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2. Gene Ontology annotations and resources.

Author

Blake JA, Dolan M, Drabkin H, Hill DP, Li N, Sitnikov D, Bridges S, Burgess S, Buza T, McCarthy F, Peddinti D, Pillai L, Carbon S, Dietze H, Ireland A, Lewis SE, Mungall CJ, Gaudet P, Chrisholm RL, Fey P, Kibbe WA, Basu S, Siegele DA, McIntosh BK, Renfro DP, Zweifel AE, Hu JC, Brown NH, Tweedie S, Alam-Faruque Y, Apweiler R, Auchinchloss A, Axelsen K, Bely B, Blatter M-, Bonilla C, Bouguerleret L, Boutet E, Breuza L, Bridge A, Chan WM, Chavali G, Coudert E, Dimmer E, Estreicher A, Famiglietti L, Feuermann M, Gos A, Gruaz-Gumowski N, Hieta R, Hinz C, Hulo C, Huntley R, James J, Jungo F, Keller G, Laiho K, Legge D, Lemercier P, Lieberherr D, Magrane M, Martin MJ, Masson P, Mutowo-Muellenet P, O'Donovan C, Pedruzzi I, Pichler K, Poggioli D, Porras Millán P, Poux S, Rivoire C, Roechert B, Sawford T, Schneider M, Stutz A, Sundaram S, Tognolli M, Xenarios I, Foulgar R, Lomax J, Roncaglia P, Khodiyar VK, Lovering RC, Talmud PJ, Chibucos M, Giglio MG, Chang H-, Hunter S, McAnulla C, Mitchell A, Sangrador A, Stephan R, Harris MA, Oliver SG, Rutherford K, Wood V, Bahler J, Lock A, Kersey PJ, McDowall DM, Staines DM, Dwinell M, Shimoyama M, Laulederkind S, Hayman T, Wang S-, Petri V, Lowry T, D'Eustachio P, Matthews L, Balakrishnan R, Binkley G, Cherry JM, Costanzo MC, Dwight SS, Engel SR, Fisk DG, Hitz BC, Hong EL, Karra K, Miyasato SR, Nash RS, Park J, Skrzypek MS, Weng S, Wong ED, Berardini TZ, Huala E, Mi H, Thomas PD, Chan J, Kishore R, Sternberg P, Van Auken K, Howe D, and Westerfield M

Subjects
Internet, Phylogeny, Databases, Genetic, Genes, Molecular Sequence Annotation, Vocabulary, Controlled
Abstract

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.

Published
2013
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3. The Gene Ontology in 2010: extensions and refinements

Author

Berardini, Tz, Li, D, Huala, E, Bridges, S, Burgess, S, Mccarthy, F, Carbon, S, Lewis, Se, Mungall, Cj, Abdulla, A, Wood, V, Feltrin, E, Valle, Giorgio, Chisholm, Rl, Fey, P, Gaudet, P, Kibbe, W, Basu, S, Bushmanova, Y, Eilbeck, K, Siegele, Da, Mcintosh, B, Renfro, D, Zweifel, A, Hu, Jc, Ashburner, M, Tweedie, S, ALAM FARUQUE, Y, Apweiler, R, Auchinchloss, A, Bairoch, A, Barrell, D, Binns, D, Blatter, Mc, Bougueleret, L, Boutet, E, Breuza, L, Bridge, A, Browne, P, Chan, Wm, Coudert, E, Daugherty, L, Dimmer, E, Eberhardt, R, Estreicher, A, Famiglietti, L, FERRO ROJAS, S, Feuermann, M, Foulger, R, GRUAZ GUMOWSKI, N, Hinz, U, Huntley, R, Jimenez, S, Jungo, F, Keller, G, Laiho, K, Legge, D, Lemercier, P, Lieberherr, D, Magrane, M, O'Donovan, C, Pedruzzi, I, Poux, S, Rivoire, C, Roechert, B, Sawford, T, Schneider, M, Stanley, E, Stutz, A, Sundaram, S, Tognolli, M, Xenarios, I, Harris, Ma, Deegan, Ji, Ireland, A, Lomax, J, Jaiswal, P, Chibucos, M, Giglio, Mg, Wortman, J, Hannick, L, Madupu, R, Botstein, D, Dolinski, K, Livstone, Ms, Oughtred, R, Blake, Ja, Bult, C, Diehl, Ad, Dolan, M, Drabkin, H, Eppig, Jt, Hill, Dp, Ni, L, Ringwald, M, Sitnikov, D, Collmer, C, TORTO ALALIBO, T, Laulederkind, S, Shimoyama, M, Twigger, S, D'Eustachio, P, Matthews, L, Balakrishnan, R, Binkley, G, Cherry, Jm, Christie, Kr, Costanzo, Mc, Engel, Sr, Fisk, Dg, Hirschman, Je, Hitz, Bc, Hong, El, Krieger, Cj, Miyasato, Sr, Nash, Rs, Park, J, Skrzypek, Ms, Weng, S, Wong, Ed, Aslett, M, Chan, J, Kishore, R, Sternberg, P, VAN AUKE, K, Khodiyar, Vk, Lovering, Rc, Talmud, Pj, Howe, D, Westerfield, M., Gene Ontology Consortium, Berardini, TZ., Li, D., Huala, E., Bridges, S., Burgess, S., McCarthy, F., Carbon, S., Lewis, SE., Mungall, CJ., Abdulla, A., Wood, V., Feltrin, E., Valle, G., Chisholm, RL., Fey, P., Gaudet, P., Kibbe, W., Basu, S., Bushmanova, Y., Eilbeck, K., Siegele, DA., McIntosh, B., Renfro, D., Zweifel, A., Hu, JC., Ashburner, M., Tweedie, S., Alam-Faruque, Y., Apweiler, R., Auchinchloss, A., Bairoch, A., Barrell, D., Binns, D., Blatter, MC., Bougueleret, L., Boutet, E., Breuza, L., Bridge, A., Browne, P., Chan, WM., Coudert, E., Daugherty, L., Dimmer, E., Eberhardt, R., Estreicher, A., Famiglietti, L., Ferro-Rojas, S., Feuermann, M., Foulger, R., Gruaz-Gumowski, N., Hinz, U., Huntley, R., Jimenez, S., Jungo, F., Keller, G., Laiho, K., Legge, D., Lemercier, P., Lieberherr, D., Magrane, M., O'Donovan, C., Pedruzzi, I., Poux, S., Rivoire, C., Roechert, B., Sawford, T., Schneider, M., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Xenarios, I., Harris, MA., Deegan, JI., Ireland, A., Lomax, J., Jaiswal, P., Chibucos, M., Giglio, MG., Wortman, J., Hannick, L., Madupu, R., Botstein, D., Dolinski, K., Livstone, MS., Oughtred, R., Blake, JA., Bult, C., Diehl, AD., Dolan, M., Drabkin, H., Eppig, JT., Hill, DP., Ni, L., Ringwald, M., Sitnikov, D., Collmer, C., Torto-Alalibo, T., Laulederkind, S., Shimoyama, M., Twigger, S., D'Eustachio, P., Matthews, L., Balakrishnan, R., Binkley, G., Cherry, JM., Christie, KR., Costanzo, MC., Engel, SR., Fisk, DG., Hirschman, JE., Hitz, BC., Hong, EL., Krieger, CJ., Miyasato, SR., Nash, RS., Park, J., Skrzypek, MS., Weng, S., Wong, ED., Aslett, M., Chan, J., Kishore, R., Sternberg, P., Van Auke, K., Khodiyar, VK., Lovering, RC., Talmud, PJ., Howe, D., and Westerfield, M.

Subjects
Information Storage and Retrieval, Ontology (information science), Biology, Bioinformatics, World Wide Web, Set (abstract data type), 03 medical and health sciences, Annotation, User-Computer Interface, 0302 clinical medicine, Controlled vocabulary, Databases, Genetic, Genetics, Animals, Humans, Databases, Protein, Computational Biology/methods, Computational Biology/trends, Databases, Nucleic Acid, Genomics, Information Storage and Retrieval/methods, Internet, Software, Vocabulary, Controlled, 030304 developmental biology, Structure (mathematical logic), 0303 health sciences, Gene ontology, business.industry, Computational Biology, Usability, Articles, ComputingMethodologies_GENERAL, business, 030217 neurology & neurosurgery
Abstract

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.

Published
2010

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