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Phenex: Ontological Annotation of Phenotypic Diversity
Journal article   Open access   Peer reviewed

Phenex: Ontological Annotation of Phenotypic Diversity

James P. Balhoff, Wasila M. Dahdul, Cartik R. Kothari, Hilmar Lapp, John G. Lundberg, Paula Mabee, Peter E. Midford, Monte Westerfield and Todd J. Vision
PloS one, v 5(5), pp e10500-e10500
05 May 2010
PMID: 20463926
url
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0010500&type=printableView
Published, Version of Record (VoR) Open
url
https://doi.org/10.1371/journal.pone.0010500View
Published, Version of Record (VoR) Open

Abstract

Multidisciplinary Sciences Science & Technology Science & Technology - Other Topics
Background: 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. As such, this rich store of phenotype data has been largely unavailable for statistical and computational comparisons across studies or integration with other biological knowledge. Methodology/Principal Findings: 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 for anatomical entities, phenotypic qualities, and taxonomic names. Phenex can be configured to load only those ontologies pertinent to a taxonomic group of interest. The graphical user interface was optimized for evolutionary biologists accustomed to working with lists of taxa, characters, character states, and character-by-taxon matrices. Conclusions/Significance: Annotation of phenotypic data using ontologies and globally unique taxonomic identifiers will allow biologists to integrate phenotypic data from different organisms and studies, leveraging decades of work in systematics and comparative morphology.

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Collaboration types
Domestic collaboration
Web of Science research areas
Evolutionary Biology
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