End-Epi: An application for inferring phylogenetic and population dynamical processes from molecular sequences | Zendy

Andrew Rambaut | Zendy; Paul Harvey | Zendy; Sean Nee | Zendy

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End-Epi: An application for inferring phylogenetic and population dynamical processes from molecular sequences

Author(s) -

Andrew Rambaut,

Paul Harvey,

Sean Nee

Publication year - 1997

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/13.3.303

Subject(s) - file transfer protocol , phylogenetic tree , consistency (knowledge bases) , computer science , population , tree (set theory) , theoretical computer science , data mining , biology , mathematics , artificial intelligence , genetics , world wide web , the internet , combinatorics , demography , sociology , gene

Phylogenetic trees constructed from molecular sequences contain information about the evolutionary or population dynamical processes that created them. Here we describe a computer package (End-Epi) that uses graphical methods to allow researchers to make inferences about these processes from their data. Statistical analyses can be performed to test the consistency of the data with various competing hypotheses.

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