DocumentCode :
501094
Title :
Statistical Study on Disease-Related ncRNAs Using Z-curve Method
Author :
Yang, Yan-ling
Author_Institution :
Key Lab. for Biophys., Universities of Shandong, De Zhou, China
Volume :
1
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
503
Lastpage :
506
Abstract :
It has become very important to study non-coding RNAs in the recent years. The Z curve is a very useful method for visualizing and analyzing DNA sequences among the approaches of researching ncRNAs. It is a three-dimensional space curve that constitutes a unique representation of a given DNA sequence, i.e., both the Z-curve and the given DNA sequence can be uniquely reconstructed from the other. Using Z curve method, we select 15 disease related ncRNAs sequences from the NONCODE database, which relate with Alzheimer Disease. The corresponding Z curves of the studied ncRNAs, sequences have been mapped and compared. The statistical features of the Z curves are obtained. These features indicate that the ncRNAs sequences, which play same roles in the cellular process, have almost the same Z-curves. And the base content in these sequences is almost same too, in spite of coming from different organisms.
Keywords :
DNA; cellular biophysics; diseases; feature extraction; medical computing; medical information systems; statistical analysis; 3D space curve; Alzheimer disease; NONCODE database; Z curve statistical feature; Z-curve reconstruction; cellular process; disease-related ncRNA sequence; noncoding RNA; unique DNA sequence representation; Alzheimer´s disease; Bioinformatics; Cardiac disease; Cardiovascular diseases; DNA; Degenerative diseases; Genomics; Organisms; RNA; Sequences; Alzheimer Disease; NONCODE; Z-curve; base content; ncRNA; non-coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.80
Filename :
5231071
Link To Document :
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