Finding our way through phenotypes.
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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.
Genetic Association Studies
Reproducibility of Results
Terminology as Topic
Published Version (Please cite this version)10.1371/journal.pbio.1002033
Publication InfoDeans, Andrew R; Lewis, Suzanna E; Huala, Eva; Anzaldo, Salvatore S; Ashburner, Michael; Balhoff, James P; ... Mabee, Paula (2015). Finding our way through phenotypes. PLoS Biol, 13(1). pp. e1002033. 10.1371/journal.pbio.1002033. Retrieved from https://hdl.handle.net/10161/10187.
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Research Professor Emerita of Evolutionary Anthropology
The focus of my work is the functional and evolutionary anatomy of the head, with an emphasis on how the feeding apparatus works and how it influences and is influenced by other structures and functions. My research focuses primarily on the functional anatomy of extant and extinct primates, but I am also interested in other mammalian groups. Current research projects include: (1) a detailed study of the architecture, fiber types, and the recruitment patterns of the jaw adductor muscl
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