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dc.contributor.authorTouré, Vasundra
dc.contributor.authorVercruysse, Steven
dc.contributor.authorAcencio, Marcio Luis
dc.contributor.authorLovering, Ruth C.
dc.contributor.authorOrchard, Sandra
dc.contributor.authorBradley, Glyn
dc.contributor.authorCasals-Casas, Cristina
dc.contributor.authorChaouiya, Claudine
dc.contributor.authordel-Toro, Noemi
dc.contributor.authorFlobak, Åsmund
dc.contributor.authorGaudet, Pascale
dc.contributor.authorHermjakob, Henning
dc.contributor.authorHoyt, Charles Tapley
dc.contributor.authorLicata, Luana
dc.contributor.authorLægreid, Astrid
dc.contributor.authorMungall, Christopher
dc.contributor.authorNiknejad, Anne
dc.contributor.authorPanni, Simona
dc.contributor.authorPerfetto, Livia
dc.contributor.authorPorras, Pablo
dc.contributor.authorPratt, Dexter
dc.contributor.authorSaez-Rodriguez, Julio
dc.contributor.authorThieffry, Denis
dc.contributor.authorThomas, Paul
dc.contributor.authorTürei, Dénes
dc.contributor.authorKuiper, Martin
dc.date.accessioned2021-04-26T13:28:20Z
dc.date.available2021-04-26T13:28:20Z
dc.date.created2020-07-24T18:17:33Z
dc.date.issued2020
dc.identifier.citationBioinformatics. 2020, 36 (24), 5712–5718 .en_US
dc.identifier.issn1367-4803
dc.identifier.urihttps://hdl.handle.net/11250/2739692
dc.description.abstractMotivation A large variety of molecular interactions occurs between biomolecular components in cells. When a molecular interaction results in a regulatory effect, exerted by one component onto a downstream component, a so-called ‘causal interaction’ takes place. Causal interactions constitute the building blocks in our understanding of larger regulatory networks in cells. These causal interactions and the biological processes they enable (e.g. gene regulation) need to be described with a careful appreciation of the underlying molecular reactions. A proper description of this information enables archiving, sharing and reuse by humans and for automated computational processing. Various representations of causal relationships between biological components are currently used in a variety of resources. Results Here, we propose a checklist that accommodates current representations, called the Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST). This checklist defines both the required core information, as well as a comprehensive set of other contextual details valuable to the end user and relevant for reusing and reproducing causal molecular interaction information. The MI2CAST checklist can be used as reporting guidelines when annotating and curating causal statements, while fostering uniformity and interoperability of the data across resources. Availability and implementation The checklist together with examples is accessible at https://github.com/MI2CAST/MI2CAST Supplementary information Supplementary data are available at Bioinformatics online.en_US
dc.language.isoengen_US
dc.publisherOxford Academicen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleThe Minimum Information about a Molecular Interaction Causal Statement (MI2CAST)en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber5712–5718en_US
dc.source.volume36en_US
dc.source.journalBioinformaticsen_US
dc.source.issue24en_US
dc.identifier.doihttps://doi.org/10.1093/bioinformatics/btaa622
dc.identifier.cristin1820476
dc.description.localcodeThis is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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