Title :
Statistical Methods for Detecting Latent Periodicity in Biological Sequences: Solving a Problem of Small-Size Samples
Author :
Chaley, M. ; Nazipova, N. ; Teplukhina, E. ; Tyulbasheva, G. ; Kutyrkin, V.
Author_Institution :
Lab. of Bioinf. Inst. of Math. Problems of Biol., RAS, Pushchino, Russia
Abstract :
An original spectral-statistical approach for detecting latent periodicity in biological sequences is proposed. This approach can be applied under conditions of limited statistical sample. It allows one to avoid redundancy and instability when identifying the latent periodicity structure. The results of spectral-statistical approach application for latent periodicity search in genomes of model organisms are collected in the HETEROGENE databasehttp://www.jcbi.ru/ lp baze/ .
Keywords :
bioinformatics; genomics; statistical analysis; biological sequences; genomes; latent periodicity structure; small-size samples; spectral-statistical methods; Bioinformatics; Biological system modeling; Dynamic programming; Genetics; Laboratories; Mathematics; Physics; Sequences; Statistical analysis; Testing;
Conference_Titel :
Bioinformatics and Biomedicine, 2009. BIBM '09. IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-0-7695-3885-3
DOI :
10.1109/BIBM.2009.22
