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The Plant Ontology as a Tool for Comparative Plant Anatomy and Genomic Analyses

Creator:

Cooper, Laurel, Walls, Ramona L., Elser, Justin, Gandolfo, Maria A., Stevenson, Dennis W., Smith, Barry, Preece, Justin, Athreya, Balaji, Mungall, Christopher J., Rensing, Stefan, Hiss, Manuel, Lang, Daniel, Reski, Ralf, Berardini, Tanya Z., Li, Donghui, Huala, Eva, Schaeffer, Mary, Menda, Naama, Arnaud, Elizabeth, Shrestha, Rosemary, Yamazaki, Yukiko, and Jaiswal, Pankaj

Abstract:

The Plant Ontology (PO;http://www.plantontology.org/" is a publicly available, collaborative effort to develop and maintain a controlled, structured vocabulary ('ontology') of terms to describe plant anatomy, morphology and the stages of plant development. The goals of the PO are to link (annotate) gene expression and phenotype data to plant structures and...

Resource Type:

Article

Full Text:

, Christopher J. Mungall5, Stefan Rensing6, Manuel Hiss6, Daniel Lang7, Ralf Reski7,8, Tanya Z. Berardini9
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...

Resource Type:

Article

Full Text:

Poelchau4,†, Ramona Walls5,†, Carson Andorf1,2, Elizabeth Arnaud6, Tanya Z. Berardini7, Clayton Birkett8