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De novo homology assessment from landmark data: A workflow to identify and track segmented structures in plant time series images
John G. Hodge, Qing Li, Andrew N. Doust
doi: https://doi.org/10.1101/2021.02.21.432162
John G. Hodge
1Department of Plant Biology, Ecology, and Evolution, Oklahoma State University, Stillwater, OK 74078, USA
Qing Li
1Department of Plant Biology, Ecology, and Evolution, Oklahoma State University, Stillwater, OK 74078, USA
Andrew N. Doust
1Department of Plant Biology, Ecology, and Evolution, Oklahoma State University, Stillwater, OK 74078, USA
Posted February 22, 2021.
De novo homology assessment from landmark data: A workflow to identify and track segmented structures in plant time series images
John G. Hodge, Qing Li, Andrew N. Doust
bioRxiv 2021.02.21.432162; doi: https://doi.org/10.1101/2021.02.21.432162
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