Segmentation of short human exons based on spectral features of double curves Online publication date: Mon, 21-Jan-2008
by Rong Jiang, Hong Yan
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 2, No. 1, 2008
Abstract: This paper presents a new segmentation method based on spectral analysis to locate borders between short protein coding regions and non-coding regions. We formulate the innovative double curve representation of a DNA sequence and apply local three-codon measurement on the discrete Fourier spectral features at 1/3 frequency to identify short protein coding regions. The proposed spectral segmentation method based on double curves requires no prior knowledge of the DNA data. Our simulation results show that the proposed spectral method greatly improves the accuracy of identifying short coding regions in DNA sequences compared with the results obtained from the other methods that analyse DNA sequences directly.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com