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LEXA, M. MARTÍNEK, T. BURGETOVÁ, I. KOPEČEK, D. BRÁZDOVÁ, M.
Originální název
A dynamic programming algorithm for identification of triplex-forming sequences
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
DNA sequence analysis; H-DNA; triplex; triplet; triad; gene regulation; pattern search; pattern recognition
Autoři
LEXA, M.; MARTÍNEK, T.; BURGETOVÁ, I.; KOPEČEK, D.; BRÁZDOVÁ, M.
Rok RIV
2011
Vydáno
21. 9. 2011
ISSN
1367-4803
Periodikum
BIOINFORMATICS
Ročník
27
Číslo
18
Stát
Spojené království Velké Británie a Severního Irska
Strany od
2510
Strany do
2517
Strany počet
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" }