As the amount of molecular sequence data in the public domain grows, so doe
s the range of biological topics that it influences through evolutionary co
nsiderations. In recent years, a number of developments have enabled molecu
lar phylogenetic methodology to keep pace. Likelihood-based inferential tec
hniques, although controversial in the past, lie at the heart of these new
methods and are producing the promised advances in the understanding of seq
uence evolution, They allow both a wide variety of phylogenetic inferences
from sequence data and robust statistical assessment of all results. It can
not remain acceptable to use outdated data analysis techniques when superio
r alternatives exist. Here, we discuss the most important and exciting meth
ods currently available to the molecular phylogeneticist.