Infer complex history from genetic sequence alignments
ACG is a graphical desktop application that allows genetics researchers to infer properties of a population based on genetic sequences sampled from it. ACG performs a Bayesian Markov Chain Monte Carlo (MCMC) procedure to reconstruct the recombining genealogy of the sequences, the size of the population, and the positions of recombination breakpoints. ACG can use sequence data from .fasta formatted sequence files, or from .VCF formatted variant files and a reference sequence.
ACG is designed to be fast and easy to use. Sequence alignments can be easily visualized and edited once they're imported, and starting a simple analysis requires just a few clicks. Once an analysis is running results are processed and displayed as they are produced, so there's no need for post-processing the data to produce informative images. Resulting images and data are automatically saved, so they can be easily accessed again later.