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NSF-IIS 2007941: Algorithms, systems, and theories for exploiting data dependencies in crowdsourcing

NIFA: QTLdb and CorrDB: Resources to Help Close the Genotype to Phenotype Gap


  • Award Information

    This website is based upon work supported by the National Science Foundation under Grant No. IIS-2007941, collaborative with NSF IIS-2008155 . Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

  • Thanks to technological advances, animal geneticists have an ever-expanding tool chest with which to study the inheritance of traits in livestock in order to improve production. Our long-range goal is to develop integrated resources that leverage prior investments in cyberinfrastructure to help maximize the utility of genotype-to-phenotype data to functionally annotate livestock genomes. The objectives of this particular application are: 1) development of machine learning-assisted data curation and automated semantic annotation, and 2) manual curation of genotype/phenotype, correlation, and heritability data. With the growing volume and breadth of information, it is increasingly difficult for curators to keep abreast of publications.