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a catalog of biological databases

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Database information

DoriC (DoriC: an updated database of replication origins in prokaryotic genomes including chromosomes and plasmids.)

General information

Description: DoriC provides extensive information and graphical views of the origins of replication (oriCs).
Year founded: 2007
Last update: 2018-6-17
Version: V10.0
Real time : Checking...
Country/Region: China
Data type:
Data object:
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Contact information

University/Institution: Tianjin University
Address: Department of Physics, School of Science, Tianjin University, Tianjin 300072, China
City: Tianjin
Country/Region: China
Contact name (PI/Team): Feng Gao
Contact email (PI/Helpdesk):

Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2018-06-11]
Jian SA [2016-04-04]
Zhang Zhang [2015-12-30]
Jian SA [2015-12-07]
Jian SA [2015-06-26]


All databases:
686/4656 (85.288%)
Gene genome and annotation:
239/1237 (80.76%)
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DoriC 10.0: an updated database of replication origins in prokaryotic genomes including chromosomes and plasmids. [PMID: 30364951]
Luo H, Gao F.

DoriC, a database of replication origins, was initially created to present the bacterial oriCs predicted by Ori-Finder or determined by experiments in 2007. DoriC 5.0, an updated database of oriC regions in both bacterial and archaeal genomes, was published in the 2013 Nucleic Acids Research database issue. Now, the latest release DoriC 10, a large-scale update of replication origins in prokaryotic genomes including chromosomes and plasmids, has been presented with a completely redesigned user interface, which is freely available at and In the current release, the database of DoriC has made significant improvements compared with version 5.0 as follows: (i) inclusion of oriCs on more bacterial chromosomes increased from 1633 to 7580; (ii) inclusion of oriCs on more archaeal chromosomes increased from 86 to 226; (iii) inclusion of 1209 plasmid replication origins retrieved from NCBI annotations or predicted by in silico analysis; (iv) inclusion of more replication origin elements on bacterial chromosomes including DnaA-trio motifs. Now, DoriC becomes the most complete and scalable database of replication origins in prokaryotic genomes, and facilitates the studies in large-scale oriC data mining, strand-biased analyses and replication origin predictions.

Nucleic Acids Res. 2019:47(D1) | 5 Citations (from Europe PMC, 2020-08-08)
DoriC 5.0: an updated database of oriC regions in both bacterial and archaeal genomes. [PMID: 23093601]
Gao F, Luo H, Zhang CT.

Replication of chromosomes is one of the central events in the cell cycle. Chromosome replication begins at specific sites, called origins of replication (oriCs), for all three domains of life. However, the origins of replication still remain unknown in a considerably large number of bacterial and archaeal genomes completely sequenced so far. The availability of increasing complete bacterial and archaeal genomes has created challenges and opportunities for identification of their oriCs in silico, as well as in vivo. Based on the Z-curve theory, we have developed a web-based system Ori-Finder to predict oriCs in bacterial genomes with high accuracy and reliability by taking advantage of comparative genomics, and the predicted oriC regions have been organized into an online database DoriC, which is publicly available at since 2007. Five years after we constructed DoriC, the database has significant advances over the number of bacterial genomes, increasing about 4-fold. Additionally, oriC regions in archaeal genomes identified by in vivo experiments, as well as in silico analyses, have also been added to the database. Consequently, the latest release of DoriC contains oriCs for >1500 bacterial genomes and 81 archaeal genomes, respectively.

Nucleic Acids Res. 2013:41(Database issue) | 79 Citations (from Europe PMC, 2020-08-15)
DoriC: a database of oriC regions in bacterial genomes. [PMID: 17496319]
Gao F, Zhang CT.

Replication origins (oriCs) of bacterial genomes currently available in GenBank have been predicted by using a systematic method comprising the Z-curve analysis for nucleotide distribution asymmetry, DnaA box distribution, genes adjacent to candidate oriCs and phylogenetic relationships. These oriCs are organized into a MySQL database, DoriC, which provides extensive information and graphical views of the oriC regions. In addition, users can Blast a query sequence or even a whole genome against DoriC to find a homologous one. DoriC will be updated timely and the latest version is DoriC 1.8, in which oriCs of 425 genomes (468 chromosomes) are identified. DoriC can be accessed from Supplementary data are available at

Bioinformatics. 2007:23(14) | 59 Citations (from Europe PMC, 2020-08-15)