Record Details
Finding Our Way through Phenotypes
ScholarsArchive at Oregon State University
| Field | Value |
|---|---|
| Title | Finding Our Way through Phenotypes |
| Names |
Deans, Andrew R.
(creator) Lewis, Suzanna E. (creator) Huala, Eva (creator) Cooper, Laurel D. (creator) Jaiswal, Pankaj (creator) et al. (creator) |
| Date Issued | 2015-01-06 (iso8601) |
| Note | This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by the Public Library of Science. The published article can be found at: http://journals.plos.org/plosbiology/. |
| Abstract | 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. |
| Genre | Article |
| Access Condition | http://creativecommons.org/licenses/by/3.0/us/ |
| Identifier | Deans, A. R., Lewis, S. E., Huala, E., Anzaldo, S. S., Ashburner, M., et al. (2015). Finding Our Way through Phenotypes. PLoS Biology, 13(1), e1002033. doi:10.1371/journal.pbio.1002033 |
