01464nas a2200373   4500000000100000000000100001008004100002260000900043100001900052700001700071700002100088700001800109700001800127700001800145700002300163700001600186700001400202700002100216700001900237700001900256700001500275700001700290700001600307700001600323700001500339700001900354700002100373700001400394245006100408300000700469490000700476520059300483022001401076       2015                            d  c20151 aAnika Oellrich1 aRamona Walls1 aEthalinda Cannon1 aSteven Cannon1 aLaurel Cooper1 aJack Gardiner1 aGeorgios Gkoutos V1 aLisa Harper1 aMingze He1 aRobert Hoehndorf1 aPankaj Jaiswal1 aScott Kalberer1 aJohn Lloyd1 aDavid Meinke1 aNaama Menda1 aLaura Moore1 aRex Nelson1 aAnuradha Pujar1 aCarolyn Lawrence1 aEva Huala00aAn ontology approach to comparative phenomics in plants.  a100 v113 aPlant phenotype datasets include many different types of data, formats, and terms from specialized vocabularies. Because these datasets were designed for different audiences, they frequently contain language and details tailored to investigators with different research objectives and backgrounds. Although phenotype comparisons across datasets have long been possible on a small scale, comprehensive queries and analyses that span a broad set of reference species, research disciplines, and knowledge domains continue to be severely limited by the absence of a common semantic framework.  a1746-4811