Přístupnostní navigace
E-application
Search Search Close
Publication detail
LEXA, M. MARTÍNEK, T. BURGETOVÁ, I. KOPEČEK, D. BRÁZDOVÁ, M.
Original Title
A dynamic programming algorithm for identification of triplex-forming sequences
Type
journal article in Web of Science
Language
English
Original Abstract
Current methods for identification of potential triplex-forming sequences in genomes and similar sequence sets rely primarily on detecting homopurine and homopyrimidine tracts. Procedures capable of detecting sequences supporting imperfect, but structurally feasible intramolecular triplex structures are needed for better sequence analysis. We modified an algorithm for detection of approximate palindromes, so as to account for the special nature of triplex DNA structures. From available literature we conclude that approximate triplexes tolerate two classes of errors. One, analogical to mismatches in duplex DNA, involves nucleotides in triplets that do not readily form Hoogsteen bonds. The other class involves geometrically incompatible neighboring triplets hindering proper alignment of strands for optimal hydrogen bonding and stacking. We tested the statistical properties of the algorithm, as well as its correctness when confronted with known triplex sequences. The proposed algorithm satisfactorily detects sequences with intramolecular triplex-forming potential. Its complexity is directly comparable to palindrome searching.
Keywords
DNA sequence analysis; H-DNA; triplex; triplet; triad; gene regulation; pattern search; pattern recognition
Authors
LEXA, M.; MARTÍNEK, T.; BURGETOVÁ, I.; KOPEČEK, D.; BRÁZDOVÁ, M.
RIV year
2011
Released
21. 9. 2011
ISBN
1367-4803
Periodical
BIOINFORMATICS
Year of study
27
Number
18
State
United Kingdom of Great Britain and Northern Ireland
Pages from
2510
Pages to
2517
Pages count
8
BibTex
@article{BUT76462, author="Matej {Lexa} and Tomáš {Martínek} and Ivana {Burgetová} and Daniel {Kopeček} and Marie {Brázdová}", title="A dynamic programming algorithm for identification of triplex-forming sequences", journal="BIOINFORMATICS", year="2011", volume="27", number="18", pages="2510--2517", doi="10.1093/bioinformatics/btr439", issn="1367-4803" }