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Huala, Eva
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- Creator:
- Van Auken, Kimberly, Fey, Petra, Berardini, Tanya Z., Dodson, Robert, Cooper, Laurel, Li, Donghui, Chan, Juancarlos, Li, Yuling, Basu, Siddhartha, Muller, Hans-Michael, Chisholm, Rex, Huala, Eva, Sternberg, Paul W., and WormBase Consortium
- Abstract:
- WormBase, dictyBase and The Arabidopsis Information Resource (TAIR) are model organism databases containing information about Caenorhabditis elegans and other nematodes, the social amoeba Dictyostelium discoideum and related Dictyostelids and the flowering plant Arabidopsis thaliana, respectively. Each database curates multiple data types from the primary research literature. In this article, we...
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- Article
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- , Yuling Li1, Siddhartha Basu2, Hans-Michael Muller1, Rex Chisholm2, Eva Huala3, Paul W. Sternberg1,5 and
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- Creator:
- Thessen, Anne E., Bunkers, 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, Aldo Vos, Rutger, Walls, Ramona L., White, Jeffrey W., Zhang, Guanyang, Deans, Andrew R., Huala, Eva, Lewis, Suzanna E., and Mabee, Paula M.
- 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...
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- Article
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- Zhang8, Andrew R. Deans18, Eva Huala19, Suzanna E. Lewis11 and Paula M. Mabee6 1 Ronin Institute for
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- 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...
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- Article
- Full Text:
- ., Cannon, E. K. S., Cannon, S. B., Cooper, L., Gardiner, J., ... & Huala, E. (2015). An ontology approach
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- 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...
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- Article
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- through Phenotypes Deans, A. R., Lewis, S. E., Huala, E., Anzaldo, S. S., Ashburner, M., et al. (2015
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- Creator:
- Gene Ontology Consortium, Berardini, Tanya Z., Li, Donghui, Huala, Eva, Bridges, Susan, Burgess, Shane, McCarthy, Fiona, Carbon, Seth, Lewis, Suzanna E., Mungall, Christopher J., Abdulla, Amina, Wood, Valerie, Feltrin, Erika, Valle, Giorgio, Chisholm, Rex L., Fey, Petra, Gaudet, Pascale, Kibbe, Warren, Basu, Siddhartha, Bushmanova, Yulia, Eilbeck, Karen, Siegele, Deborah A., McIntosh, Brenley, Renfro, Daniel, Zweifel, Adrienne, Hu, James C., Harris, Midori A., Deegan, Jennifer I., Ireland, Amelia, Lomax, Jane, Jaiswal, Pankaj, Chibucos, Marcus, Gwinn-Giglio, Michelle, Wortman, Jennifer, Hannick, Linda, Madupu, Ramana, Botstein, David, Dolinski, Kara, Livstone, Michael S., Oughtred, Rose, Blake, Judith A., Bult, Carol, Diehl, Alexander D., Dolan, Mary, Drabkin, Harold, Eppig, Janan T., Hill, David P., Ni, Li, Ringwald, Martin, Sitnikov, Dmitry, Collmer, Candace, Torto-Alalibo, Trudy, Laulederkind, Stan, Shimoyama, Mary, Twigger, Simon, D'Eustachio, Peter, Matthews, Lisa, Balakrishnan, Rama, Binkley, Gail, Cherry, J. Michael, Christie, Karen R., Costanzo, Maria C., Engel, Stacia R., Fisk, Dianna G., Hirschman, Jodi E., Hitz, Benjamin C., Hong, Eurie L., Krieger, Cynthia J., Miyasato, Stuart R., Nash, Robert S., Park, Julie, Skrzypek, Marek S., Weng, Shuai, Wong, Edith D., Aslett, Martin, Chan, Juancarlos, Kishore, Ranjana, Sternberg, Paul, Van Auken, Kimberly, Khodiyar, Varsha K., Lovering, Ruth C., and Talmud, Philippa J.
- Abstract:
- The Gene Ontology (GO) Consortium (http://www.geneontology.org) (GOC) continues to develop, maintain and use a set of structured, controlled vocabularies for the annotation of genes, gene products and sequences. The GO ontologies are expanding both in content and in structure. Several new relationship types have been introduced and used, along with...
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- Article
- Full Text:
- Li, Eva Huala (TAIR, Carnegie Institute for Science, Department of Plant Biology, Stanford, CA, USA