title: Composite annotations: requirements for mapping multiscale data and models to biomedical ontologies.
abstract: 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.
authors: Dept. of Physiology & Biophysics, University of Washington, Seattle, WA 98195, USA. dcook@u.washington.edu
authors: Daniel L
authors: DL
authors: Cook
authors: Jose L V
authors: JL
authors: Mejino
authors: Maxwell L
authors: ML
authors: Neal
authors: John H
authors: JH
authors: Gennari
mesh_terms: D001695:Biology / Q000379:methods*; D035843:Biomedical Research / Q000379:methods; D002965:Classification / Q000379:methods; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D003201:Computers; D006801:Humans; D016247:Information Storage and Retrieval; D009323:Natural Language Processing; D011381:Programming Languages; D012984:Software; D018511:Systems Integration; D009626:Terminology as Topic; D014584:User-Computer Interface; D018875:Vocabulary, Controlled