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Original article | published - EPub | peer reviewed | Open Access

The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE)


Journal of integrative bioinformatics 2020 ;






Bibliometric indicators



Citations (WOS) = 0

DOI = 10.1515/jib-2020-0005

PubMed-ID = 32598315


Authors

Waltemath D*1, Golebiewski M, Blinov M, Gleeson P, Hermjakob H, Hucka M, Inau E, Keating S, König M, Krebs O, Malik-Sheriff R, Nickerson D, Oberortner E, Sauro H, Schreiber F, Smith L, Stefan M, Wittig U, Myers C


Abstract

This paper presents a report on outcomes of the 10th Computational Modeling in Biology Network (COMBINE) meeting that was held in Heidelberg, Germany, in July of 2019. The annual event brings together researchers, biocurators and software engineers to present recent results and discuss future work in the area of standards for systems and synthetic biology. The COMBINE initiative coordinates the development of various community standards and formats for computational models in the life sciences. Over the past 10 years, COMBINE has brought together standard communities that have further developed and harmonized their standards for better interoperability of models and data. COMBINE 2019 was co-located with a stakeholder workshop of the European EU-STANDS4PM initiative that aims at harmonized data and model standardization for in silico models in the field of personalized medicine, as well as with the FAIRDOM PALs meeting to discuss findable, accessible, interoperable and reusable (FAIR) data sharing. This report briefly describes the work discussed in invited and contributed talks as well as during breakout sessions. It also highlights recent advancements in data, model, and annotation standardization efforts. Finally, this report concludes with some challenges and opportunities that this community will face during the next 10 years.

Published in

Journal of integrative bioinformatics


Year 2020
Impact Factor (2020)
Volume
Issue
Pages -
Open Access ja
Peer reviewed ja
Article type Original article
Article state published - EPub
DOI 10.1515/jib-2020-0005
PubMed-ID 32598315

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Community Medicine


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