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


Countries that developed this resource European Union , United States

Created in 2010

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How to cite this record TumorML; Tumor model repositories Markup Language; DOI:; Last edited: June 23, 2021, 1:09 p.m.; Last accessed: Oct 27 2021 4:28 p.m.

This record is maintained by davjoh  ORCID

Record updated: June 23, 2021, 12:34 p.m. by The FAIRsharing Team.

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Access / Retrieve Data


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

View Paper (PubMed) View Publication

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

View Paper (PubMed) View Publication

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

View Publication

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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Grant Number(s)

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