Detail publikace

The identification of replication origin in bacterial genomes by cumulated phase signal

MADĚRÁNKOVÁ, D. SEDLÁŘ, K. VÍTEK, M. ŠKUTKOVÁ, H.

Originální název

The identification of replication origin in bacterial genomes by cumulated phase signal

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The origin of replication (oriC) plays an important role in the cell cycle as the place where DNA replication is initiated. In bacterial cells, a single replication origin can be found and its correct identification is necessary in the annotation process of newly sequenced genomes. Although the rearrangement of a whole genome sequence according to oriC should be a standard procedure, public databases still contain lots of genomes starting at a random place. This situation complicates the comparative analysis of whole bacterial genomes as only two genomes rearranged according to oriC can be reliably aligned. In this paper, we present a novel technique for oriC prediction based exclusively on utilization of cumulated phase signal which distinguishes our approach from current techniques combining application of genomic signal processing techniques with a standard character based comparison. Proposed technique is therefore fast and suitably complements the current pipeline for comparison of whole bacterial genomes by aligned downsampled signals.

Klíčová slova

cumulated phase, origin of replication, oriC, genomic signal, bacteria

Autoři

MADĚRÁNKOVÁ, D.; SEDLÁŘ, K.; VÍTEK, M.; ŠKUTKOVÁ, H.

Vydáno

5. 10. 2017

Nakladatel

IEEE

ISBN

978-1-4673-8988-4

Kniha

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Strany od

267

Strany do

271

Strany počet

5

URL

http://ieeexplore.ieee.org/abstract/document/8058561/

BibTex

@inproceedings{BUT140330,
  author="Denisa {Maděránková} and Karel {Sedlář} and Martin {Vítek} and Helena {Vítková}",
  title="The identification of replication origin in bacterial genomes by cumulated phase signal",
  booktitle="2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)",
  year="2017",
  pages="267--271",
  publisher="IEEE",
  doi="10.1109/CIBCB.2017.8058561",
  isbn="978-1-4673-8988-4",
  url="http://ieeexplore.ieee.org/abstract/document/8058561/"
}