A DNA Based Migration Modeling of the Lizards in Florida Scrub Habitat
Document Type
Contribution to Book
Publication Date
1-1-2016
Publication Title
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications
DOI
10.1016/B978-0-12-804203-8.00011-0
ISBN
978-0-12-804203-8
Abstract
Empirical migration models deliver migration patterns using collected data in multiobserve-record sessions of the migratory species’ behavior. Such modeling is time-consuming, costly, and is not fit for investigation of habitat migration. As an alternative, use of collected data in one-time-test-record session reduces the observation time and cost significantly. However, new methodologies are needed to deliver the migration patterns. In this chapter, we introduce such methodology, Expansion-CONtraction (ECON), which is a hybrid clustering technique following a two-phase process — expansion and contraction. ECON (a) clusters the data set once using the coordinates of the point of capture and the second time using DNA markers and (b) maps the tightly grid-dense (TGD) DNA clusters over the TGD location clusters producing one trivial, and seven nontrivial migration patterns along with their features.
Recommended Citation
Hashemi, Ray R., Azita A. Bahrami, Daniel Swain Jr., Aaron W. Schrey, Nicholas R. Tyler.
2016.
"A DNA Based Migration Modeling of the Lizards in Florida Scrub Habitat."
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications (2nd), Tran QN and Arabnia HR (Ed.) Cambridge, MA: Elsevier.
doi: 10.1016/B978-0-12-804203-8.00011-0 source: https://bioone.org/journals/journal-of-herpetology/volume-49/issue-3/13-190/Phylogeography-of-the-Peninsula-Crowned-Snake-Tantilla-relicta-relicta-on/10.1670/13-190.short isbn: 978-0-12-804203-8
https://digitalcommons.georgiasouthern.edu/biology-facpubs/151
