alexa Variant Maps to Identify Coding and Non-coding DNA Sequences of Genomes Selected from Multiple Species
ISSN: 2329-6577

Biological Systems: Open Access
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Research Article

Variant Maps to Identify Coding and Non-coding DNA Sequences of Genomes Selected from Multiple Species

Yuquan Liu1 and Jeffrey Zheng2,3*
1School of Software and Microelectronics, Peking University, Beijing, China
2Key Lab of Yunnan Software Engineering, Kunming, China
3School of Software, Yunnan University, Kunming, China
*Corresponding Author : Jeffrey Zheng
Professor, Yunnan University
Information Security, China
Tel: +8613108839090
E-mail: [email protected]
Received: December 18, 2015 Accepted: January 20, 2016 Published: January 28, 2016
Citation: Liu Y, Zheng J (2016) Variant Maps to Identify Coding and Non-coding DNA Sequences of Genomes Selected from Multiple Species. Biol Syst Open Access 5:153. doi:10.4172/2329-6577.1000153
Copyright: © 2016 Liu Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

 

Abstract

DNA sequences comprise complex genetic information, their specific characteristics are contained in both coding and non-coding sequences. Major gene components in higher levels of organisms are composed of non-coding sequences. In ENCODE project, there are evidence that 98% human Genomes are non-coding forms and 80% of them with functions. This paper provides a measurement model and a set of experiment results on genomic sequences using variant maps to distinguish differences on coding and non-coding sequences in visual representations. This model applies probability measurements on DNA sequences to coding and non-coding regions respectively to identify distinguished patterns from different sequences of multiple species.

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