@article{TEXTUAL,
      recid = {8217},
      author = {Deans, Andrew R. and Lewis, Suzanna E. and Huala, Eva and  Anzaldo, Salvatore S. and Ashburner, Michael and Balhoff,  James P. and Blackburn, David C. and Blake, Judith A. and  Burleigh, J. Gordon and Chanet, Bruno and Cooper, Laurel D.  and Courtot, Mélanie and Csösz, Sándor and Cui, Hong and  Dahdul, Wasila and Das, Sandip and Dececchi, T. Alexander  and Dettai, Agnes and Diogo, Rui and Ibrahim, Nizar},
      title = {Finding Our Way through Phenotypes},
      journal = {PLOS Biology},
      address = {2015-01-06},
      number = {TEXTUAL},
      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  many key fields in biology, including genomics, systems  biology, development, medicine, evolution, ecology, and  systematics. Here we survey the current phenomics  landscape, including data resources and handling, and the  progress that has been made to accurately capture relevant  data descriptions for phenotypes. We present an example of  the kind of integration across domains that computable  phenotypes would enable, and we call upon the broader  biology community, publishers, and relevant funding  agencies to support efforts to surmount today's data  barriers and facilitate analytical reproducibility.},
      url = {http://knowledge.uchicago.edu/record/8217},
}