05 Dec 2017
Check out our subgenome classification algorithm in action
We are able to rapidly classify segments of the tobacco genome that are derived from the two respective progenitor species in this allopolyploid subgenome.
The Gordon Lab focuses on a systems-level understanding of the genome.
The interactions between molecular species of the genome are difficult to observe, yet they are the drivers of patterns within the genome.
Check out our research projects for more details, but examples of general questions we address include:
Gordon Lab research is driven by biological questions but our approach is quantitative, including applied statistics, dynamical systems, simulations, and machine learning. Members of the Gordon Lab develop data-driven, quantitative approaches customized to a wide range of biological problems in natural and agricultural systems.
Check out our subgenome classification algorithm in action
We are able to rapidly classify segments of the tobacco genome that are derived from the two respective progenitor species in this allopolyploid subgenome.
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