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Finding Genes using Viterbi Training to build Hidden Markov Models

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ViterbiGeneFinder

Build: g++ main.cc viterbi.cc dna_sequence.cc -std=c++0x

Run: ./a.out <sequence_file>

Performs Viterbi Training to find the most probable state path based on the passed in emission probability matrix for each state. By looking for areas in the sequence where we emit a disproporitionate number of Cs and Gs to find "CpG islands" we can predict the start regions of genes in a DNA sequence.

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Finding Genes using Viterbi Training to build Hidden Markov Models

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