Detail publikace

pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm

LABUDOVÁ, D. HON, J. LEXA, M.

Originální název

pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Motivation: G-quadruplex is a DNA form in which four guanine-rich regions are held together by Hoogsteen bonding between guanine nucleotides in coordination with potassium ions. G-quadruplexes are increasingly seen as a biologically important component of genomes. Their detection in vivo is problematic, however, sequencing and spectrometric techniques exist for in vitro detection in isolated DNA. In silico methods can be used to analyze nucleotide sequences for potential quadruplex-forming sequences (PQS). We previously devised the pqsfinder algorithm for identification of PQS, implemented it in C++ and published it as an R/Bioconductor package. We looked for ways to optimize pqsfinder for faster and user-friendly sequence analysis.Results: We identified two weak points where pqsfinder could be optimized. We modified the internals of the recursive algorithm to avoid matching and scoring many sub-optimal PQS conformations that are later discarded. To accommodate the needs of a broader range of users, we created a website for submission of sequence analysis jobs that does not require knowledge of R to use pqsfinder

Klíčová slova

web application, G-quadruplex identification, G4, imperfect G4, potential quadruplex-forming sequence, PQS, pattern search

Autoři

LABUDOVÁ, D.; HON, J.; LEXA, M.

Vydáno

15. 4. 2020

ISSN

1367-4803

Periodikum

BIOINFORMATICS

Ročník

36

Číslo

8

Stát

Spojené království Velké Británie a Severního Irska

Strany od

2584

Strany do

2586

Strany počet

3

URL

https://www.fit.vut.cz/research/publication/12079/

BibTex

@article{BUT162286,
  author="Dominika {Labudová} and Jiří {Hon} and Matej {Lexa}",
  title="pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm",
  journal="BIOINFORMATICS",
  year="2020",
  volume="36",
  number="8",
  pages="2584--2586",
  doi="10.1093/bioinformatics/btz928",
  issn="1367-4803",
  url="https://www.fit.vut.cz/research/publication/12079/"
}