TY - JOUR
T1 - Using PEBBLE for the evolutionary analysis of serially sampled molecular sequences.
AU - Goode, Matthew
AU - Rodrigo, Allen G.
PY - 2004/5
Y1 - 2004/5
N2 - The PEBBLE (Phylogenetics, Evolutionary Biology, and Bioinformatics in a moduLar Environment) application is a relative newcomer to the field of phylogenetic applications. Although designed as a customizable generalist application, PEBBLE was initially developed to implement procedures for the analysis of sequences associated with different sampling times, e.g., rapidly evolving viral genes sampled over the course of infection, or ancient DNA sequences. The basic protocol describes the use of PEBBLE to infer a phylogenetic tree using the sUPGMA algorithm, and the inference of substitution rate parameters using maximum likelihood. The alternate and support protocols describe the simulation capabilities of PEBBLE, and general use of the PEBBLE application, respectively.
AB - The PEBBLE (Phylogenetics, Evolutionary Biology, and Bioinformatics in a moduLar Environment) application is a relative newcomer to the field of phylogenetic applications. Although designed as a customizable generalist application, PEBBLE was initially developed to implement procedures for the analysis of sequences associated with different sampling times, e.g., rapidly evolving viral genes sampled over the course of infection, or ancient DNA sequences. The basic protocol describes the use of PEBBLE to infer a phylogenetic tree using the sUPGMA algorithm, and the inference of substitution rate parameters using maximum likelihood. The alternate and support protocols describe the simulation capabilities of PEBBLE, and general use of the PEBBLE application, respectively.
UR - http://www.scopus.com/inward/record.url?scp=43349095424&partnerID=8YFLogxK
U2 - 10.1002/0471250953.bi0608s05
DO - 10.1002/0471250953.bi0608s05
M3 - Article
SN - 1934-340X
VL - Chapter 6
SP - Unit 6.8
JO - Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.]
JF - Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.]
ER -