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Ori-Finder 2022:A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins

摘要The replication of DNA is a complex biological process that is essential for life.Bacterial DNA replication is initiated at genomic loci referred to as replication origins(oriCs).Integrating the Z-curve method,DnaA box distribution,and comparative genomic analysis,we developed a web server to predict bacterial oriCs in 2008 called Ori-Finder,which is helpful to clarify the character-istics of bacterial oriCs.The oriCs of hundreds of sequenced bacterial genomes have been annotated in the genome reports using Ori-Finder and the predicted results have been deposited in DoriC,a manually curated database of oriCs.This has facilitated large-scale data mining of functional ele-ments in oriCs and strand-biased analysis.Here,we describe Ori-Finder 2022 with updated predic-tion framework,interactive visualization module,new analysis module,and user-friendly interface.More species-specific indicator genes and functional elements of oriCs are integrated into the updated framework,which has also been redesigned to predict oriCs in draft genomes.The inter-active visualization module displays more genomic information related to oriCs and their functional elements.The analysis module includes regulatory protein annotation,repeat sequence discovery,homologous oriC search,and strand-biased analyses.The redesigned interface provides additional customization options for oriC prediction.Ori-Finder 2022 is freely available at http://tubic.tju.edu.cn/Ori-Finder/and https://tubic.org/Ori-Finder/.

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基因组蛋白质组与生物信息学报(英文版)

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