PLoS Biol 13 (1):e1002033 (2015)

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that has been made to accurately capture relevant data descriptions for phenotypes. We present an example of the kind of integration across domains that computable phenotypes would enable, and we call upon the broader biology community, publishers, and relevant funding agencies to support efforts to surmount today's data barriers and facilitate analytical reproducibility.
Keywords PATO  Phenotype Ontology  Human Phenome Project
Categories (categorize this paper)
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

On the Origin of Species.Charles Darwin - 2008 - Oxford University Press.

View all 6 references / Add more references

Citations of this work BETA

Descent and Logic in Biosystematics.Thomas McCabe (ed.) - 2021 - Juneau: Perseverant Publishing.

Add more citations

Similar books and articles

Phylogenetic Comparative Analysis of Multivariate Data.S. J. Steppan - 2004 - In Massimo Pigliucci & Katherine Preston (eds.), Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes. Oxford University Press. pp. 325--344.
Ontology and the Future of Dental Research Informatics.Barry Smith, Louis J. Goldberg, Alan Ruttenberg & Michael Glick - 2010 - Journal of the American Dental Association 141 (10):1173-75.
Book Reviews. [REVIEW]W. Godfrey-Smith - 1980 - Philosophical Quarterly 30 (121):356.


Added to PP index

Total views
532 ( #13,770 of 2,448,683 )

Recent downloads (6 months)
28 ( #25,196 of 2,448,683 )

How can I increase my downloads?


My notes