PSTk-Classifier is a software written in C++ for classifying DNA using a Bayesian approach. Different underlying models can be selected — Naive (Nk), Markov (Mk) and Variable Length Markov (VLMK). The classifier works by first constructing profiles for all groups using fasta-files directly. The profiles are kept in a directory. Then sample sequences (in a multifasta file) can be scored against the profiles and a high-score list will be presented.
Daniel Dalevi (firstname.lastname@example.org)
:: MORE INFORMATION
Dalevi D, Dubhashi D, Hermansson M (2006)
Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures.
Bioinformatics. 2006 Mar 1;22(5):517-22.