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Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225481/ https://www.ncbi.nlm.nih.gov/pubmed/36257484 http://dx.doi.org/10.1016/j.gpb.2022.10.002 |
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author | Dong, Mei-Jing Luo, Hao Gao, Feng |
author_facet | Dong, Mei-Jing Luo, Hao Gao, Feng |
author_sort | Dong, Mei-Jing |
collection | PubMed |
description | 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 characteristics 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 elements in oriCs and strand-biased analysis. Here, we describe Ori-Finder 2022 with updated prediction 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 interactive 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/. |
format | Online Article Text |
id | pubmed-10225481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102254812023-05-30 Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins Dong, Mei-Jing Luo, Hao Gao, Feng Genomics Proteomics Bioinformatics Web Server 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 characteristics 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 elements in oriCs and strand-biased analysis. Here, we describe Ori-Finder 2022 with updated prediction 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 interactive 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/. Elsevier 2022-12 2022-10-17 /pmc/articles/PMC10225481/ /pubmed/36257484 http://dx.doi.org/10.1016/j.gpb.2022.10.002 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Web Server Dong, Mei-Jing Luo, Hao Gao, Feng Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins |
title | Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins |
title_full | Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins |
title_fullStr | Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins |
title_full_unstemmed | Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins |
title_short | Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins |
title_sort | ori-finder 2022: a comprehensive web server for prediction and analysis of bacterial replication origins |
topic | Web Server |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225481/ https://www.ncbi.nlm.nih.gov/pubmed/36257484 http://dx.doi.org/10.1016/j.gpb.2022.10.002 |
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