Harmonizing semantic annotations for computational models in biology

Simple item page
dc.contributor.authorNeal, Maxwell Lewisen_ZA
dc.contributor.authorKonig, Matthiasen_ZA
dc.contributor.authorNickerson, Daviden_ZA
dc.contributor.authorMısırlı, Gokselen_ZA
dc.contributor.authorKalbasi, Rezaen_ZA
dc.contributor.authorDrager, Andreasen_ZA
dc.contributor.authorAtalag, Korayen_ZA
dc.contributor.authorChelliah, Vijayalakshmien_ZA
dc.contributor.authorCooling, Michael T.en_ZA
dc.contributor.authorCook, Daniel L.en_ZA
dc.contributor.authorCrook, Sharonen_ZA
dc.contributor.authorDe Alba, Miguelen_ZA
dc.contributor.authorFriedman, Samuel H.en_ZA
dc.contributor.authorGarny, Alanen_ZA
dc.contributor.authorGennari, John H.en_ZA
dc.contributor.authorGleeson, Padraigen_ZA
dc.contributor.authorGolebiewski, Martinen_ZA
dc.contributor.authorHucka, Michaelen_ZA
dc.contributor.authorJuty, Nicken_ZA
dc.contributor.authorMyers, Chrisen_ZA
dc.contributor.authorOlivier, Brett G.en_ZA
dc.contributor.authorSauro, Herbert M.en_ZA
dc.contributor.authorScharm, Martinen_ZA
dc.contributor.authorSnoep, Jacky L.en_ZA
dc.contributor.authorToure, Vasundraen_ZA
dc.contributor.authorWipat, Anilen_ZA
dc.contributor.authorWolkenhauer, Olafen_ZA
dc.contributor.authorWaltemath, Dagmaren_ZA
dc.date.accessioned2021-08-10T13:59:44Z
dc.date.available2021-08-10T13:59:44Z
dc.date.issued2019
dc.descriptionCITATION: Neal, M. L., et al. 2019. Harmonizing semantic annotations for computational models in biology. Briefings in Bioinformatics, 20(2):540-550, doi:10.1093/bib/bby087.
dc.descriptionThe original publication is available at https://academic.oup.com/en_ZA
dc.description.abstractLife science researchers use computational models to articulate and test hypotheses about the behavior of biological systems. Semantic annotation is a critical component for enhancing the interoperability and reusability of such models as well as for the integration of the data needed for model parameterization and validation. Encoded as machine-readable links to knowledge resource terms, semantic annotations describe the computational or biological meaning of what models and data represent. These annotations help researchers find and repurpose models, accelerate model composition and enable knowledge integration across model repositories and experimental data stores. However, realizing the potential benefits of semantic annotation requires the development of model annotation standards that adhere to a community-based annotation protocol.Without such standards, tool developers must account for a variety of annotation formats and approaches, a situation that can become prohibitively cumbersome and which can defeat the purpose of linking model elements to controlled knowledge resource terms. Currently, no consensus protocol for semantic annotation exists among the larger biological modeling community. Here, we report on the landscape of current annotation practices among the COmputational Modeling in BIology NEtwork community and provide a set of recommendations for building a consensus approach to semantic annotation.en_ZA
dc.description.urihttps://academic.oup.com/bib/article/20/2/540/5164345
dc.description.versionPublisher's version
dc.format.extent11 pages
dc.identifier.citationNeal, M. L., et al. 2019. Harmonizing semantic annotations for computational models in biology. Briefings in Bioinformatics, 20(2):540-550, doi:10.1093/bib/bby087
dc.identifier.issn1477-4054 (online)
dc.identifier.issn1467-5463 (print)
dc.identifier.otherdoi:10.1093/bib/bby087
dc.identifier.urihttp://hdl.handle.net/10019.1/110824
dc.language.isoen_ZAen_ZA
dc.publisherOxford University Press
dc.rights.holderAuthors retain copyright
dc.subjectSemantic annotationen_ZA
dc.subjectBiological systems -- Data processing -- Analysisen_ZA
dc.subjectComputational modelingen_ZA
dc.subjectData integration (Computer science)en_ZA
dc.titleHarmonizing semantic annotations for computational models in biologyen_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
neal_harmonizing_2019.pdf
Size:
553.29 KB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles (Biochemistry)