'Computable' Phenotypes Enable Comparative and Predictive Phenomics Among Plant Species and Across Domains of Life

Ian Braun, James P. Balhoff, Tanya Z. Berardini, Laurel Cooper, Georgios V. Gkoutos, Lisa C. Harper, Eva Huala, Pankaj Jaiswal, Toni Kazic, Hilmar Lapp, James A. Macklin, Chelsea D. Specht, Todd J. Vision, Ramona L. Walls, Carolyn J. Lawrence-Dill. 'Computable' Phenotypes Enable Comparative and Predictive Phenomics Among Plant Species and Across Domains of Life. In Anne E. Thessen, editor, Application of Semantic Technology in Biodiversity Science. Volume 33 of Studies on the Semantic Web, pages 187-205, IOS Press, 2018. [doi]

@incollection{BraunBBCGHHJKLMSVWL18,
  title = {'Computable' Phenotypes Enable Comparative and Predictive Phenomics Among Plant Species and Across Domains of Life},
  author = {Ian Braun and James P. Balhoff and Tanya Z. Berardini and Laurel Cooper and Georgios V. Gkoutos and Lisa C. Harper and Eva Huala and Pankaj Jaiswal and Toni Kazic and Hilmar Lapp and James A. Macklin and Chelsea D. Specht and Todd J. Vision and Ramona L. Walls and Carolyn J. Lawrence-Dill},
  year = {2018},
  doi = {10.3233/978-1-61499-854-9-187},
  url = {https://doi.org/10.3233/978-1-61499-854-9-187},
  researchr = {https://researchr.org/publication/BraunBBCGHHJKLMSVWL18},
  cites = {0},
  citedby = {0},
  pages = {187-205},
  booktitle = {Application of Semantic Technology in Biodiversity Science},
  editor = {Anne E. Thessen},
  volume = {33},
  series = {Studies on the Semantic Web},
  publisher = {IOS Press},
  isbn = {978-1-61499-854-9},
}