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Your search keyword '"Lawrence-Dill, Carolyn J."' showing total 4 results
Start Over Author "Lawrence-Dill, Carolyn J." Topic environment
4 results on '"Lawrence-Dill, Carolyn J."'

2. Emerging semantics to link phenotype and environment

Author

Thessen, Anne E, Bunker, Daniel E, Buttigieg, Pier Luigi, Cooper, Laurel D, Dahdul, Wasila M, Domisch, Sami, Franz, Nico M, Jaiswal, Pankaj, Lawrence-Dill, Carolyn J, Midford, Peter E, Mungall, Christopher J, Ramírez, Martín J, Specht, Chelsea D, Vogt, Lars, Vos, Rutger Aldo, Walls, Ramona L, White, Jeffrey W, Zhang, Guanyang, Deans, Andrew R, Huala, Eva, Lewis, Suzanna E, and Mabee, Paula M

Subjects
Epidemiology, Biological Sciences, Health Sciences, Networking and Information Technology R&D (NITRD), Generic health relevance, Phenotype, Environment, Ontology, Semantic web, Biodiversity, Data integration, Medical and Health Sciences
Abstract

Understanding the interplay between environmental conditions and phenotypes is a fundamental goal of biology. Unfortunately, data that include observations on phenotype and environment are highly heterogeneous and thus difficult to find and integrate. One approach that is likely to improve the status quo involves the use of ontologies to standardize and link data about phenotypes and environments. Specifying and linking data through ontologies will allow researchers to increase the scope and flexibility of large-scale analyses aided by modern computing methods. Investments in this area would advance diverse fields such as ecology, phylogenetics, and conservation biology. While several biological ontologies are well-developed, using them to link phenotypes and environments is rare because of gaps in ontological coverage and limits to interoperability among ontologies and disciplines. In this manuscript, we present (1) use cases from diverse disciplines to illustrate questions that could be answered more efficiently using a robust linkage between phenotypes and environments, (2) two proof-of-concept analyses that show the value of linking phenotypes to environments in fishes and amphibians, and (3) two proposed example data models for linking phenotypes and environments using the extensible observation ontology (OBOE) and the Biological Collections Ontology (BCO); these provide a starting point for the development of a data model linking phenotypes and environments.

Published
2015

3. Assessing plant performance in the Enviratron

Author

Bao, Yin, Zarecor, Scott, Shah, Dylan, Tuel, Taylor, Campbell, Darwin A., Chapman, Antony V. E., Imberti, David, Kiekhaefer, Daniel, Imberti, Henry, Lübberstedt, Thomas, Yin, Yanhai, Nettleton, Dan, Lawrence-Dill, Carolyn J., Whitham, Steven A., Tang, Lie, and Howell, Stephen H.

Published
2019
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4. Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets

Author

AlKhalifah, Naser, Campbell, Darwin A., Falcon, Celeste M., Gardiner, Jack M., Miller, Nathan D., Romay, Maria Cinta, Walls, Ramona, Walton, Renee, Yeh, Cheng-Ting, Bohn, Martin, Bubert, Jessica, Buckler, Edward S., Ciampitti, Ignacio, Flint-Garcia, Sherry, Gore, Michael A., Graham, Christopher, Hirsch, Candice, Holland, James B., Hooker, David, Kaeppler, Shawn, Knoll, Joseph, Lauter, Nick, Lee, Elizabeth C., Lorenz, Aaron, Lynch, Jonathan P., Moose, Stephen P., Murray, Seth C., Nelson, Rebecca, Rocheford, Torbert, Rodriguez, Oscar, Schnable, James C., Scully, Brian, Smith, Margaret, Springer, Nathan, Thomison, Peter, Tuinstra, Mitchell, Wisser, Randall J., Xu, Wenwei, Ertl, David, Schnable, Patrick S., De Leon, Natalia, Spalding, Edgar P., Edwards, Jode, and Lawrence-Dill, Carolyn J.

Published
2018
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