<p>A computational framework using ontologies to integrate large-scale trees and traits: exploring diversity across the teleost tree of life</p>

Laura M. Jackson; Pasan C. Fernando; Josh S. Hanscom; James P. Balhoff; Paula M. Mabee

doi:10.7490/f1000research.1113878.1

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Jackson LM, Fernando PC, Hanscom JS et al. A computational framework using ontologies to integrate large-scale trees and traits: exploring diversity across the teleost tree of life [version 1; not peer reviewed]. F1000Research 2017, 6:427 (poster) (https://doi.org/10.7490/f1000research.1113878.1)

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A computational framework using ontologies to integrate large-scale trees and traits: exploring diversity across the teleost tree of life

Laura M. Jackson¹, Pasan C. Fernando, Josh S. Hanscom, James P. Balhoff, Paula M. Mabee

Published 05 Apr 2017 (https://doi.org/10.7490/f1000research.1113878.1)

Author Affiliations

¹ University of South Dakota, USA

Copyright © 2017 Jackson LM et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 05 Apr 2017

A computational framework using ontologies to integrate large-scale trees and traits: exploring diversity across the teleost tree of life
[version 1; not peer reviewed]

Laura M. Jackson¹, Pasan C. Fernando, Josh S. Hanscom, James P. Balhoff, Paula M. Mabee

Author Affiliations

¹ University of South Dakota, USA

Presented at

10th International Biocuration Conference 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

ontology, inference, phenotype, evolutionary morphology, missing data, bioinformatics pipeline, data integration

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