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Filtering by: Contributor Cannon, Ethalinda Creator Cannon, Ethalinda K. S.

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

Creator:

Harper, Lisa, Campbell, Jacqueline, Cannon, Steve, Carson, James, Condon, Bradford, Cooper, Laurel, Dunn, Nathan, Elsik, Christine G., Farmer, Andrew, Ficklin, Stephen P., Grant, David, Grau, Emily, Cannon, Ethalinda K. S., Herndon, Nic, Hu, Zhi-Liang, Humann, Jodi, Jaiswal, Pankaj, Jonquet, Clement, Laporte, Marie-Angelique, Larmande, Pierre, Lazo, Gerard, McCarthy, Fiona, Menda, Naama, Jung, Sook, Mungall, Christopher J., Munoz-Torres, Monica C., Naithani, Sushma, Nelson, Rex, Nesdill, Daureen, Park, Carissa, Reecy, James, Reiser, Leonore, Sanderson, Lacey-Anne, Sen, Taner Z., Poelchau, Monica, Staton, Margaret, Subramaniam, Sabarinath, Tello-Ruiz, Marcela Karey, Unda, Victor, Unni, Deepak, Wang, Liya, Ware, Doreen, Wegrzyn, Jill, Williams, Jason, Woodhouse, Margaret, Walls, Ramona, Yu, Jing, Main, Doreen, Andorf, Carson, Arnaud, Elizabeth, Berardini, Tanya Z., and Birkett, Clayton

Abstract:

The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require datamanagement plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated...

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Article

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agriculture Lisa Harper1,*,†, Jacqueline Campbell2,†, Ethalinda K.S. Cannon1,2,†, Sook Jung3,†, Monica
An ontology approach to comparative phenomics in plants

Creator:

Oellrich, Anika, Walls, Ramona L., Cannon, Ethalinda K. S., Cannon, Steven B., Cooper, Laurel, Gardiner, Jack, Gkoutos, Georgios V., Harper, Lisa, He, Mingze, Hoehndorf, Robert, Jaiswal, Pankaj, Kalberer, Scott R., Lloyd, John P., Meinke, David, Menda, Naama, Moore, Laura, Nelson, Rex T., Pujar, Anuradha, Lawrence, Carolyn J., and Huala, Eva

Abstract:

BACKGROUND: Plant phenotype datasets include many different types of data, formats, and terms from specialized vocabularies. Because these datasets were designed for different audiences, they frequently contain language and details tailored to investigators with different research objectives and backgrounds. Although phenotype comparisons across datasets have long been possible on a...

Resource Type:

Article

Full Text:

., Cannon, E. K. S., Cannon, S. B., Cooper, L., Gardiner, J., ... & Huala, E. (2015). An ontology approach

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AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

An ontology approach to comparative phenomics in plants

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