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Abstract Detail

Bioinformatic and Biometric Methods in Plant Morphology

Punyasena, Surangi [1], Smith, Selena [2].

Bioinformatic and Biometric Methods in Plant Morphology.

Advances in microscopy, imaging, and computational analyses now allow finer analyses of plant morphology than have previously been possible, providing plant biologists with tools to better understand how morphology relates to ecology, physiology, genotype, and evolutionary and phylogenetic history. The increased speed and detail that can be captured by new imaging technologies means that the information represented in shape and form can provide as rich a bioinformatic data source as genetic data. As a result, there has been a renewed interest in the study of plant morphology and an increased emphasis in quantifying the range of variation observed in phenotypes. This session proposes to bring together computer scientists,applied mathematicians, systematists, plant morphologists, and paleobotanists who are developing or using novel biometric and informatic methods in the study of plant morphology. Our aim is to provide a forum for a cross-disciplinary exchange of ideas and methods, addressing a wide range of applications and research goals, with the shared theme of the quantitative analysis of plant morphology.

Broader Impacts:

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1 - University of Illinois, 505 S Goodwin Ave, 139 Morrill Hall, Urbana, IL, 61801, USA
2 - University of Michigan, Department of Geology, 1100 North University Avenue, 2534 CC Little Building, Ann Arbor, MI, 48109, USA

none specified

Presentation Type: Symposium or Colloquium Presentation
Session: C2
Location: Prince of Wales/Riverside Hilton
Date: Monday, July 29th, 2013
Time: 1:30 PM
Number: C2SUM
Abstract ID:25
Candidate for Awards:None

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