Search Constraints
Filtering by:
Creator
Little, Stefan A.
Remove constraint Creator: Little, Stefan A.
Creator
Jaiswal, Pankaj
Remove constraint Creator: Jaiswal, Pankaj
1 - 3 of 3
Number of results to display per page
Search Results
-
- Creator:
- Walls, Ramona L., Athreya, Balaji, Cooper, Laurel, Elser, Justin, Gandolfo, Maria A., Jaiswal, Pankaj, Mungall, Christopher J., Preece, Justin, Rensing, Stefan, Smith, Barry, and Stevenson, Dennis W.
- Abstract:
- Premise of the study: Bio-ontologies are essential tools for accessing and analyzing the rapidly growing pool of plant genomic and phenomic data. Ontologies provide structured vocabularies to support consistent aggregation of data and a semantic framework for automated analyses and reasoning. They are a key component of the semantic web....
- Resource Type:
- Article
- Full Text:
- such tools, by standardizing terminology, supporting data aggregation and re- trieval, and creating a
-
- 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:
- OP-PCPJ120087 1..23 The Plant Ontology as a Tool for Comparative
-
- Creator:
- Deans, Andrew R., Lewis, Suzanna E., Huala, Eva, Anzaldo, Salvatore S., Ashburner, Michael, Balhoff, James P., Blackburn, David C., Blake, Judith A., Burleigh, J. Gordon, Chanet, Bruno, Cooper, Lauren D., Courtot, Mélanie, Csösz, Sándor, Cul, Hong, Dahdul, Wasila, Das, Sandip, Dececchi, T. Alexander, Dettal, Agnes, Diogo, Rui, Druzinsky, Robert E., Dumontier, Michel, Franz, Nico M., Friedrich, Frank, Gkoutos, George V., Haendel, Melissa, Harmon, Luke J., Hayamizu, Terry F., He, Yongqun, Hines, Heather M., Ibrahim, Nizar, Jackson, Laura M., Jaiswal, Pankaj, James-Zorn, Christina, Köhler, Sebastian, Lecointre, Guillaume, Lapp, Hilmar, Lawrence, Carolyn J., Le Novère, Nicolas, Lundberg, John G., Macklin, James, Mast, Austin R., Midford, Peter E., Mikó, István, Mungall, Christopher J., Oellrich, Anika, Osumi-Sutherland, David, Parkinson, Helen, Ramírez, Martín J., Richter, Stefan, Robinson, Peter N., Ruttenberg, Alan, Schulz, Katja S., Segerdell, Erik, Seltmann, Katja C., Sharkey, Michael J., Smith, Aaron D., Smith, Barry, Specht, Chelsea D., Squires, R. Burke, Thacker, Robert W., Thessen, Anne, Fernandez-Triana, Jose, Vihinen, Mauno, Vize, Peter D., Vogt, Lars, Wall, Christine E., Walls, Ramona L., Westerfeld, Monte, Wharton, Robert A., Wirkner, Christian S., Woolley, James B., Yoder, Matthew J., Zorn, Aaron M., and Mabee, Paula
- 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...
- Resource Type:
- Article
- Full Text:
- through Phenotypes Deans, A. R., Lewis, S. E., Huala, E., Anzaldo, S. S., Ashburner, M., et al. (2015