Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes

DNA replication is one of the most basic processes in all three domains of cellular life. With the advent of the post-genomic era, the increasing number of complete archaeal genomes has created an opportunity for exploration of the molecular mechanisms for initiating cellular DNA replication by in v...

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Main Authors: Hao eLuo, Chun-Ting eZhang, Feng eGao
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-09-01
Series:Frontiers in Microbiology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00482/full
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spelling doaj-86dcd00c776444288aad9ef0fd7adcb72020-11-24T23:07:22ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2014-09-01510.3389/fmicb.2014.00482112581Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomesHao eLuo0Chun-Ting eZhang1Feng eGao2Tianjin UniversityTianjin UniversityTianjin UniversityDNA replication is one of the most basic processes in all three domains of cellular life. With the advent of the post-genomic era, the increasing number of complete archaeal genomes has created an opportunity for exploration of the molecular mechanisms for initiating cellular DNA replication by in vivo experiments as well as in silico analysis. However, the location of replication origins (oriCs) in many sequenced archaeal genomes remains unknown. We present a web-based tool Ori-Finder 2 to predict oriCs in the archaeal genomes automatically, based on the integrated method comprising the analysis of base composition asymmetry using the Z-curve method, the distribution of Origin Recognition Boxes (ORBs) identified by FIMO tool, and the occurrence of genes frequently close to oriCs. The web server is also able to analyze the unannotated genome sequences by integrating with gene prediction pipelines and BLAST software for gene identification and function annotation. The result of the predicted oriCs is displayed as an HTML table, which offers an intuitive way to browse the result in graphical and tabular form. The software presented here is accurate for the genomes with single oriC, but it does not necessarily find all the origins of replication for the genomes with multiple oriCs. Ori-Finder 2 aims to become a useful platform for the identification and analysis of oriCs in the archaeal genomes, which would provide insight into the replication mechanisms in archaea. The web server is freely available at http://tubic.tju.edu.cn/Ori-Finder2/.http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00482/fullArchaeaDNA Replicationorigin recognition boxZ-curveReplication origins
collection DOAJ
language English
format Article
sources DOAJ
author Hao eLuo
Chun-Ting eZhang
Feng eGao
spellingShingle Hao eLuo
Chun-Ting eZhang
Feng eGao
Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes
Frontiers in Microbiology
Archaea
DNA Replication
origin recognition box
Z-curve
Replication origins
author_facet Hao eLuo
Chun-Ting eZhang
Feng eGao
author_sort Hao eLuo
title Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes
title_short Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes
title_full Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes
title_fullStr Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes
title_full_unstemmed Ori-Finder 2, an integrated tool to predict replication origins in the archaeal genomes
title_sort ori-finder 2, an integrated tool to predict replication origins in the archaeal genomes
publisher Frontiers Media S.A.
series Frontiers in Microbiology
issn 1664-302X
publishDate 2014-09-01
description DNA replication is one of the most basic processes in all three domains of cellular life. With the advent of the post-genomic era, the increasing number of complete archaeal genomes has created an opportunity for exploration of the molecular mechanisms for initiating cellular DNA replication by in vivo experiments as well as in silico analysis. However, the location of replication origins (oriCs) in many sequenced archaeal genomes remains unknown. We present a web-based tool Ori-Finder 2 to predict oriCs in the archaeal genomes automatically, based on the integrated method comprising the analysis of base composition asymmetry using the Z-curve method, the distribution of Origin Recognition Boxes (ORBs) identified by FIMO tool, and the occurrence of genes frequently close to oriCs. The web server is also able to analyze the unannotated genome sequences by integrating with gene prediction pipelines and BLAST software for gene identification and function annotation. The result of the predicted oriCs is displayed as an HTML table, which offers an intuitive way to browse the result in graphical and tabular form. The software presented here is accurate for the genomes with single oriC, but it does not necessarily find all the origins of replication for the genomes with multiple oriCs. Ori-Finder 2 aims to become a useful platform for the identification and analysis of oriCs in the archaeal genomes, which would provide insight into the replication mechanisms in archaea. The web server is freely available at http://tubic.tju.edu.cn/Ori-Finder2/.
topic Archaea
DNA Replication
origin recognition box
Z-curve
Replication origins
url http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00482/full
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