NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata

In scientific research, integration and synthesis require a common understanding of where data come from, how much they can be trusted, and what they may be used for. To make such an understanding computer-accessible requires standards for exchanging richly annotated data. The challenges of conveyin...

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Библиографические подробности
Главные авторы: Vos, Rutger A., Balhoff, James P., Caravas, Jason A., Holder, Mark T., Lapp, Hilmar, Maddison, Wayne P., Midford, Peter E., Priyam, Anurag, Sukumaran, Jeet, Xia, Xuhua, Stoltzfus, Arlin
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2012
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Regular Articles
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3376374/
https://ncbi.nlm.nih.gov/pubmed/22357728
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/sysbio/sys025
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