Cook Daniel L, Mejino Jose L V, Neal Maxwell L, Gennari John H
Dept. of Physiology & Biophysics, University of Washington, Seattle, WA 98195, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2791-4. doi: 10.1109/IEMBS.2009.5333830.
Current methods for annotating biomedical data resources rely on simple mappings between data elements and the contents of a variety of biomedical ontologies and controlled vocabularies. Here we point out that such simple mappings are inadequate for large-scale multiscale, multidomain integrative "virtual human" projects. For such integrative challenges, we describe a "composite annotation" schema that is simple yet sufficiently extensible for mapping the biomedical content of a variety of data sources and biosimulation models to available biomedical ontologies.
当前用于注释生物医学数据资源的方法依赖于数据元素与各种生物医学本体及受控词汇表内容之间的简单映射。在此我们指出，这种简单映射对于大规模、多尺度、多领域的综合“虚拟人”项目而言是不够的。针对此类综合挑战，我们描述了一种“复合注释”模式，该模式简单但具有足够的可扩展性，可用于将各种数据源和生物模拟模型的生物医学内容映射到可用的生物医学本体。
