Phylogenetics is the science of the evolutionary relationships among species.
Recently, the term has come to include broader issues such as estimating rates
of evolution, dating divergence among species, reconstructing ancestral characters,
or quantifying adaptation, all these using phylogenies as frameworks.
Computers seem to have been used by phylogeneticists as soon they were
available in research departments [62, 63]. Since then, progress has been obvious
in two parallel directions: biological databases, particularly for molecular
sequences, have increased in quantity at an exponential rate and, at the same
time, computing power has grown at an expanding pace. These concurrent
escalations have resulted in the challenge of analyzing larger and larger data
sets using more and more complex methods.
The current complexity of phylogenetic analyses implies some strategic
choices. This chapter explains the advantages of R as a system for phylogenetic
Bayesian Networks in R: with Applications in Systems Biology (Use R!)
While there have been significant advances in capturing data from the entities
across complex real-world systems, their associations and relationships are largely
unknown. Associations between the entities may reveal interesting system-level
properties that may not be apparent otherwise. Often these associations are hypothesized...