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Phenex: Ontological Annotation of Phenotypic Diversity 17
James P. Balhoff; Wasila M. Dahdul; Cartik R. Kothari; Hilmar Lapp; John G. Lundberg; Paula Mabee; Peter E. Midford; Monte Westerfield; Todd J. Vision.
Phenex is a platform-independent desktop application designed to facilitate efficient and consistent annotation of phenotypic variation using Entity-Quality syntax, drawing on terms from community ontologies for anatomical entities, phenotypic qualities, and taxonomic names. Despite the centrality of the phenotype to so much of biology, traditions for communicating information about phenotypes are idiosyncratic to different disciplines. Phenotypes seem to elude standardized descriptions due to the variety of traits that compose them and the difficulty of capturing the complex forms and subtle differences among organisms that we can readily observe. Consequently, phenotypes are refractory to attempts at data integration that would allow computational...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4636/version/1
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Phenex: Ontological Annotation of Phenotypic Diversity 17
James P. Balhoff; Wasila M. Dahdul; Cartik R. Kothari; Hilmar Lapp; John G. Lundberg; Paula Mabee; Peter E. Midford; Monte Westerfield; Todd J. Vision.
Phenotypic differences among species have long been systematically itemized and described by biologists in the process of investigating phylogenetic relationships and trait evolution. Traditionally, these descriptions have been expressed in natural language within the context of individual journal publications or monographs. Thus, this rich store of phenotype data has been largely unavailable for statistical and computational comparisons across studies or integration with other biological knowledge.
Here we describe Phenex, a platform-independent desktop application designed to facilitate efficient and consistent annotation of phenotypic similarities and differences using Entity-Quality syntax, drawing on terms from community ontologies...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2009 URL: http://precedings.nature.com/documents/4068/version/1
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