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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124947" target="_blank" >RIV/00216305:26220/17:PU124947 - isvavai.cz</a>

Result on the web

<a href="http://ieeexplore.ieee.org/abstract/document/8058561/" target="_blank" >http://ieeexplore.ieee.org/abstract/document/8058561/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CIBCB.2017.8058561" target="_blank" >10.1109/CIBCB.2017.8058561</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA17-01821S" target="_blank" >GA17-01821S: High throughput bacterial genome assembly and annotation techniques using genomic signal processing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

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

ISBN

978-1-4673-8988-4

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

267-271

Publisher name

IEEE

Place of publication

neuveden

Event location

Manchester

Event date

Aug 23, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000463852500041