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Proceedings Paper

Reverse translations of gene-coding DNA sequences using hidden Markov models
Author(s): Tomasz Kaczynski; Robert Nowak
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Paper Abstract

This work is aimed to algorithmically (in silico) reproduce the sequence of DNA from protein sequence, i.e. solve protein back-translation problem or reverse translation problem. Presented solution produces a result using hidden Markov models without usage of codon frequency data obtained in other (previous) analysis. Based on biological foundations of protein biosynthesis the Markov model is constructed, then trained with the support of the Viterbi algorithm, and used to estimate the most likely coding sequence. An application that implements the above algorithm is described, the results obtained by this application are studied, and comparison to other solutions of the protein back-translation (reverse translation) problem is presented.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 84541P (15 October 2012); doi: 10.1117/12.2000163
Show Author Affiliations
Tomasz Kaczynski, Warsaw Univ. of Technology (Poland)
Robert Nowak, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 8454:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012
Ryszard S. Romaniuk, Editor(s)

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