Abstract Detail



Conference Wide

Endara, Lorena [1], Burleigh, Gordon [2], Cui, Hong [3].

Constructing morphological character matrices from taxonomic descriptions using new software approaches.

Phenotypic data is part of the evolutionary history of organisms and one of the only ways to integrate fossils into phylogenetic studies. Additionally, this type of data can help researchers address scientific questions beyond Taxonomy and Systematics (e.g., studies of plasticity, adaptation, and evolutionary development). Yet phenotypic data can be challenging and time consuming to obtain. This workshop will teach scientists how to use a new semi-automated approach to extract large phenotypic datasets from taxonomic descriptions and transform them into characters useful for phylogenetic research. We will present the software pipeline used to extract phenotypic characters, and participants will work with a sample dataset to learn the different applications of the pipeline. A laptop computer is required. We encourage participants that would like to analyze their own dataset to contact the organizers a few weeks in advance.


Related Links:
Text Parser - ETC
MatrixConverter
AVAToL Phenomics project


1 - University of Florida, Biology, Carr Hall, 217, PO Box 118525, Gainesville, FL, 32611, USA
2 - University Of Florida, P.O. Box 118526, Gainesville, FL, 32611, USA
3 - University of Arizona, Information Resources and Library Science, Information Resources & Library Sciences #74, Office 3, Tucson, AZ, 85719, USA

Keywords:
phenotypes
Taxonomic descriptions
morphological characters
legacy literature
Natural Language Processing
phylogenetics.

Presentation Type: Workshop Proposal
Number:
Abstract ID:23
Candidate for Awards:None


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