Finding Our Way through Phenotypes

PLoS Biol 13 (1):e1002033 (2015)
Download Edit this record How to cite View on PhilPapers
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.
PhilPapers/Archive ID
DEAFOW-4
Upload history
First archival date: 2016-07-03
Latest version: 2 (2017-11-06)
View other versions
Added to PP index
2015-01-07

Total views
449 ( #10,335 of 53,516 )

Recent downloads (6 months)
42 ( #15,582 of 53,516 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.