biostudies-literatureNiarakis ARSMSNIH/NHGRINIHNIGMS NIH HHSBiotechnology and Biological Sciences Research Council1848-1859https://www.ebi.ac.uk/biostudies/studies/S-EPMC7986594biostudies-literatureUnknown22(2)The fast accumulation of biological data calls for their integration, analysis and exploitation through more systematic approaches. The generation of novel, relevant hypotheses from this enormous quantity of data remains challenging. Logical models have long been used to answer a variety of questions regarding the dynamical behaviours of regulatory networks. As the number of published logical models increases, there is a pressing need for systematic model annotation, referencing and curation in community-supported and standardised formats. This article summarises the key topics and future directions of a meeting entitled 'Annotation and curation of computational models in biology', organised as part of the 2019 [BC]2 conference. The purpose of the meeting was to develop and drive forward aBriefings in bioinformaticsSetting the basis of best practices and standards for curation and annotation of logical models in biology-highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop.PMC7986594HG002273BB/N019482/1BBS/E/D/100020701R35GM119770-04R35 GM119770Chaouiya CThieffry DHelikar TNiarakis AXenarios IFreeman TCSaez-Rodriguez JOshurko ECasals-Casas CNaldi AStoll GThomas PToure VSoliman SMalik Sheriff RSNoel VKuiper MCalzone LOstaszewski MfalseSetting the basis of best practices and standards for curation and annotation of logical models in biology-highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop.The fast accumulation of biological data calls for their integration, analysis and exploitation through more systematic approaches. The generation of novel, relevant hypotheses from this enormous quantity of data remains challenging. Logical models have long been used to answer a variety of questions regarding the dynamical behaviours of regulatory networks. As the number of published logical models increases, there is a pressing need for systematic model annotation, referencing and curation in community-supported and standardised formats. This article summarises the key topics and future directions of a meeting entitled 'Annotation and curation of computational models in biology', organised as part of the 2019 [BC]2 conference. The purpose of the meeting was to develop and drive forward a2021-01-01T00:00:00Z2021 Mar2026-05-02T17:59:19.139Z2022-02-09T16:00:45.661ZS-EPMC79865943231393910.1093/bib/bbaa046