Finding our way through phenotypes.
PLoS Biol
; 13(1): e1002033, 2015 Jan.
Article
de En
| MEDLINE
| ID: mdl-25562316
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.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Études d'associations génétiques
Type d'étude:
Diagnostic_studies
/
Prognostic_studies
Limites:
Animals
/
Humans
Langue:
En
Journal:
PLoS Biol
Sujet du journal:
BIOLOGIA
Année:
2015
Type de document:
Article
Pays d'affiliation:
États-Unis d'Amérique