Инд. авторы:	Ryabko B.Y., Usotskaya N.
Заглавие:	DNA-Sequence Analysis Using Markov Chain Models
Библ. ссылка:	Ryabko B.Y., Usotskaya N. DNA-Sequence Analysis Using Markov Chain Models // 2008 IEEE Information Theory Workshop: IEEE Information Theory Workshop (MAY 05-08, 2008). - 2008. - Porto. - P.119-123. - ISBN: 978-1-4244-2269-2.
Внешние системы:	DOI: 10.1109/ITW.2008.4578634; РИНЦ: 15052364; SCOPUS: 2-s2.0-51849122056; WoS: 000259299000027;
Реферат:	eng: The statistical structure of DNA-sequences is of a great interest to molecular biology, genetics and the theory of evolution (see Chen and others, GIW-99, 1999, Aktulga and others, EURASIP J. of Bioinformatics and Systems Biology, 2007, Li, Computers and Chemistry, 1997). One of the approaches is a sequence modeling using Markov processes of different orders, and further statistical estimation of their parameters (see Simons and others, JSPI, 2005). In this paper we use firstly the test for the serial independence from Ryabko, Astola (Slat. Methodology, 2006) to estimate the "memory" (or connectivity) of genetic texts and secondly we apply the homogeneity test for solving the DNA-based problem connected to the phylogenetic system of various organisms.
Ключевые слова:	Systems biology; Statistical structures; Statistical estimation; Sequence modeling; Sequence analysis; Markov chain modeling; Testing; Statistical methods; Parameter estimation; Organic acids; Nucleic acids; Biology; Markov processes; Lithium; Information theory; Genes; Estimation; DNA sequences; DNA; Cybernetics; Bioinformatics; Biochemistry; Molecular biology;
Издано:	Porto: , 2008
Физ. характеристика:	с.119-123
Конференция:	Название: 2008 IEEE Information Theory Workshop Город: Porto Страна: Portugal Даты проведения: 2008-05-05 - 2008-05-08