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A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
End-Epi: an application for inferring phylogenetic and population dynamical processes from molecular sequences
1Department of Zoology, University of Oxford, UK. andrew.rumbaut@zoo.ox.ac.uk
Computer Applications in the Biosciences : CABIOS
|June 1, 1997
Summary
Researchers can now infer evolutionary and population dynamics from molecular sequence data using the End-Epi computer package. This tool aids in analyzing phylogenetic trees and testing hypotheses about biological processes.
Area of Science:
- Evolutionary biology
- Population genetics
- Bioinformatics
Background:
- Phylogenetic trees derived from molecular sequences encode crucial evolutionary and population dynamics.
- Understanding these underlying processes is vital for biological research.
Purpose of the Study:
- To introduce End-Epi, a novel computer package designed for inferring evolutionary and population dynamical processes.
- To provide researchers with tools for analyzing phylogenetic data and testing hypotheses.
Main Methods:
- Utilizes graphical methods for data interpretation.
- Incorporates statistical analyses to evaluate competing hypotheses.
- The End-Epi package is available via WWW and FTP.
Main Results:
- Enables researchers to make inferences about evolutionary and population dynamics from molecular sequence data.
- Facilitates the testing of data consistency against various hypotheses.
Conclusions:
- End-Epi offers a valuable computational resource for the analysis of phylogenetic data.
- The package empowers researchers to gain deeper insights into evolutionary and population processes.
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