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- Creator:
- Arighi, Cecilia N., Carterette, Ben, Cohen, K. Bretonnel, Krallinger, Martin, Wilbur, W. John, Fey, Petra, Dodson, Robert, Cooper, Laurel, Van Slyke, Ceri E., Dahdul, Wasila, Mabee, Paula, Li, Donghui, Harris, Bethany, Gillespie, Marc, Jimenez, Silvia, Roberts, Phoebe, Matthews, Lisa, Becker, Kevin, Drabkin, Harold, Bello, Susan, Licata, Luana, Chatr-aryamontri, Andrew, Schaeffer, Mary L., Park, Julie, Haendel, Melissa, Van Auken, Kimberly, Li, Yuling, Chan, Juancarlos, Muller, Hans-Michael, Cui, Hong, Balhoff, James P., Wu, Johnny Chi-Yang, Lu, Zhiyong, Wei, Chih-Hsuan, Tudor, Catalina O., Raja, Kalpana, Subramani, Suresh, Natarajan, Jeyakumar, Cejuela, Juan Miguel, Dubey, Pratibha, and Wu, Cathy
- Abstract:
- In many databases, biocuration primarily involves literature curation, which usually involves retrieving relevant articles, extracting information that will translate into annotations and identifying new incoming literature. As the volume of biological literature increases, the use of text mining to assist in biocuration becomes increasingly relevant. A number of groups have...
- Resource Type:
- Article
- Full Text:
- Licata17, Andrew Chatr-aryamontri18, Mary L. Schaeffer19, Julie Park20, Melissa Haendel21, Kimberly Van
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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...
- Resource Type:
- Article
- Full Text:
- , Melissa Haendel23, Luke J. Harmon24, Terry F. Hayamizu25, Yongqun He26, Heather M. Hines1, Nizar