About the Lab

The Ware lab has two primary goals:

(1) research into plant genomics, with a focus on functional and comparative genomics of model plant systems and agriculturally important crop plants; and

(2) development of tools, data sources and resources for the genomics research community.

The Ware lab also contributes actively to three large-scale, multi-institutional, cyber-infrastructure collaboratives designed to serve broad research and educational communities: the NSF-funded Gramene and CyVerse projects, and the DOE-funded Systems Biology Knowledgebase (KBase).The Ware lab is a dynamic research group and its composition has continued to evolve keeping in pace with its research objectives. During this period, two of our post-doctoral researchers Christophe Liseron-Monfils and Christos Noutsos completed their fellowships and advanced to newer career opportunities, while Michael Campbell joined our team as a new post-doctoral researcher.  On a similar note, Jurandir Vieira de Magalhaes successfully concluded his collaborative research with the lab as a visiting scientist from Embrapa Maize and Sorghum, Brazil while Dong Ding joined as a new visiting scientist from Huazhong Agricultural University, China.We also had Erin DeNardo from Washington University participating in Undergraduate Research Program(URP) in summer of 2016 .

Lab Blog

RSS Kbase

  • New Sign-up/Sign-in System June 7, 2017
    On June 9, KBase will be switching to a new system for signing up and signing in. (Note that KBase will be unavailable for several hours during this conversion.) Users who already have KBase accounts will have to navigate through a new authentication process the first time they sign on after the changeover to convert […]
  • Using KBase for Biological Sampling, Inference, Modeling, and Prediction June 7, 2017
    KBase power user and University of Nebraska-Lincoln graduate student Mikaela Cashman has created a Narrative showcasing a workflow called BioSIMP (Biological Sampling, Inference, Modeling, and Prediction) that models and predicts the behavior of biological organisms. Based on phenotypic response to combinations of environmental factors BioSIMP uses software […]
  • Maintenance Window – June 9 2017 May 31, 2017
    A Maintenance Window is scheduled for June 9, 2017.
 
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