standards > model/format > DOI:10.25504/FAIRsharing.h9gdcb


ready Tumor model repositories Markup Language

Abbreviation: TumorML


General Information
Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.



How to cite this record FAIRsharing.org: TumorML; Tumor model repositories Markup Language; DOI: https://doi.org/10.25504/FAIRsharing.h9gdcb; Last edited: March 15, 2018, 11:53 a.m.; Last accessed: Nov 17 2018 9:01 p.m.


This record is maintained by davjoh  ORCID

Record updated: March 15, 2018, 11:42 a.m. by The FAIRsharing Team.

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Publications

Dealing with Diversity in Computational Cancer Modeling

David Johnson, Steve McKeever, Georgios Stamatakos, Dimitra Dionysiou, Norbert Graf, Vangelis Sakkalis, Konstantinos Marias, Zhihui Wang, and Thomas S. Deisboeck
Cancer Informatics 2013

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TumorML: Concept and requirements of an in silico cancer modelling markup language

David Johnson, Jonathan Cooper and Steve McKeever
Conf Proc IEEE Eng Med Biol Soc 2011

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Connecting digital cancer model repositories with markup: introducing TumorML version 1.0

David Johnson, Steve McKeever, Thomas S. Deisboeck and Zhihui Wang
ACM SIGBioinformatics Record 2013

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Semantically linking in silico cancer models

David Johnson, Anthony J. Connor, Steve McKeever, Zhihui Wang, Thomas S. Deisboeck, Tom Quaiser and Eliezer Shochat
Cancer Informatics 2014

View Paper (PubMed) View Publication

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  • FP7-ICT-2009.5.4- 247754 (European Commission FP7)