This article uses a systems biological modeling approach to address the challenge of in vivo measurements to elucidate the structure and regulation of the lignin pathway through a computational characterization of alternate candidate topologies.
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This article uses a systems biological modeling approach to address the challenge of in vivo measurements to elucidate the structure and regulation of the lignin pathway through a computational characterization of alternate candidate topologies.
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Faraji, Mojdeh; Fonseca, Luis L.; Escamilla-Treviño, Luis; Dixon, R. A. & Voit, Eberhard O.Computational inference of the structure and regulation of the lignin pathway in Panicum virgatum,
article,
September 17, 2015;
London, UK.
(https://digital.library.unt.edu/ark:/67531/metadc862664/:
accessed March 19, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Arts and Sciences.