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Advances in Bioinformatics
Volume 2017 (2017), Article ID 3686025, 7 pages
https://doi.org/10.1155/2017/3686025
Research Article

An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model

1College of Computer Science and Information Technology, University of Anbar, Al-Anbar, Iraq
2College of Science and Technology, University of Human Development, Sulaymaniyah, Iraq

Correspondence should be addressed to Raed I. Hamed; qi.ude.dhu@yhalafla.dear

Received 6 November 2016; Accepted 9 January 2017; Published 31 January 2017

Academic Editor: Florentino Fdez-Riverola

Copyright © 2017 Safa A. Hameed and Raed I. Hamed. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base. This is achieving effective results with high performance in employment.