Pregled bibliografske jedinice broj: 620219
On Statistical Properties of Palindromes in DNA
On Statistical Properties of Palindromes in DNA // COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 42 (2013), 7; 1373-1385 doi:10.1080/03610926.2012.739253 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 620219 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On Statistical Properties of Palindromes in DNA
Autori
Špoljarić, Drago ; Ugrina, Ivo
Izvornik
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (0361-0926) 42
(2013), 7;
1373-1385
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Central limit theorem; m-dependent sequence; Normal distribution; Palindromes in DNA; Poisson distribution
Sažetak
The main aim of this article is to determine the distribution of the number of palindromes of a fixed length in a DNA sequence. Palindrome in DNA is a part of the DNA sequence which is equal to its complementary sequence read backwards (C ∼ G, A ∼ T). We examine the general case where the distribution of the nucleobases is arbitrary. Further, we determine conditions in which Normal approximation can be used. Special attention is given to coding and non-coding regions in DNA and to the distribution of bases in those parts of DNA.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
058-1170889-1050 - Ocjene za funkcionale na prostorima funkcija (Perić, Ivan, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Rudarsko-geološko-naftni fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- Compu-Math Citation Index
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts
- SCIE
- CSA Technology Research Database
- Current Index to Statistics
- Engineering Index/COMPENDEX PLUS
- INIST-Pascal/CNRS
- International Abstracts in Operation Research (IAOR)
- Mathematical Reviews
- Scopus
- Statistical Theory and Method Abstracts