PSTk-Classifier – Classify DNA using a Bayesian approach

PSTk-Classifier

:: DESCRIPTION

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.

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::DEVELOPER

Daniel Dalevi (daniel.dalevi@gmail.com)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

  PSTk-Classifier

:: MORE INFORMATION

Citation

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.

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