PGEToolbox -- Matlab Toolbox for Population Genetics and Evolution
PGEToolbox is a Matlab-based software package for analysis of polymorphism
and divergence data for population genetics and evolution. It estimates several
basic statistics of DNA sequence variation and carries out statistical tests of
selective neutrality under the infinite alleles model, such as Tajima's D test,
Fu & Li's tests and Fay & Wu's H test. The significance of tests is determined
from the distribution of the statistics obtained by coalescent simulation. The
toolbox performs McDonald-Kreitman test (and several extensions). PGEToolbox
also contains functions for handling SNP (Single Nucleotide Polymorphism)
genotype data. PGEToolbox is open-sourced, can be easily extended or tailored
for specific tasks, and scaled up for large data sets.For academic uses,
PGEToolbox is available free of charge at
http://bioinformatics.org/pgetoolbox
MBEToolbox -- Matlab Toolbox for Molecular Biology and Evolution
Matlab is a
high-performance language for technical computing, integrating computation,
visualization, and programming in an easy-to-use environment. It has been widely
used in many areas, such as mathematics and computation, algorithm development,
data acquisition, modeling, simulation, and scientific and engineering graphics.
However, few functions are freely available in Matlab to perform the sequence
data analyses specifically required for molecular biology and evolution. We have developed
a Matlab toolbox, called MBEToolbox, aimed at filling this gap by offering
efficient implementations of the most needed functions in molecular biology and
evolution. It can be used to manipulate aligned sequences, calculate
evolutionary distances, estimate synonymous and nonsynonymous substitution
rates, and infer phylogenetic trees. Moreover, it provides an extensible,
functional framework for users with more specialized requirements to explore and
analyze aligned nucleotide or protein sequences from an evolutionary
perspective. The full functions in the toolbox are accessible through the
command-line for seasoned Matlab users. A graphical user interface, that may be
especially useful for non-specialist end users, is also provided. MBEToolbox is a
useful tool that can aid in the exploration, interpretation and visualization of
data in molecular biology and evolution. The software is publicly available at
http://bioinformatics.org/mbetoolbox/