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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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376374/ https://www.ncbi.nlm.nih.gov/pubmed/22357728 http://dx.doi.org/10.1093/sysbio/sys025 |