DocumentCode
2515626
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
fYear
2009
fDate
1-4 Nov. 2009
Firstpage
92
Lastpage
96
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine, 2009. BIBM '09. IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-0-7695-3885-3
Type
conf
DOI
10.1109/BIBM.2009.22
Filename
5341851
Link To Document