ReviewFrontiers in microbiology2015
Choosing a suitable method for the identification of replication origins in microbial genomes.
Review in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 32 citations in OpenAlex.
- Chip Calorimetry for Single-Cell Analysis: Advances, Challenges, and Opportunities.Sensors (Basel, Switzerland) · 2026Review
- The Epigenetics of Anxiety Pathophysiology: A DNA Methylation and Histone Modification Focused Review.eNeuro · 2023Review
- Biophysical and biochemical insights in the design of immunoassays.Biochimica et biophysica acta. General subjects · 2023Review
- Ori-Finder 2022: A Comprehensive Web Server for Prediction and Analysis of Bacterial Replication Origins.Genomics, proteomics & bioinformatics · 2022Article
- Integrating LASSO Feature Selection and Soft Voting Classifier to Identify Origins of Replication Sites.Current genomics · 2022Article
- Customized peptidoglycan surfaces to investigate innate immune recognition via surface plasmon resonance.Methods in enzymology · 2022Article
- Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.Briefings in bioinformatics · 2021Article
- gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning.Scientific reports · 2020Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the replication of genomic DNA is arguably the most important task performed by a cell and given that it is controlled at the initiation stage, the events that occur at the replication origin play a central role in the cell cycle. Making sense of DNA replication origins is important for improving our capacity to study cellular processes and functions in the regulation of gene expression, genome integrity in much finer detail. Thus, clearly comprehending the positions and sequences of replication origins which are fundamental to chromosome organization and duplication is the first priority of all. In view of such important roles of replication origins, tremendous work has been aimed at identifying and testing the specificity of replication origins. A number of computational tools based on various skew types have been developed to predict replication origins. Using various in silico approaches such as Ori-Finder, and databases such as DoriC, researchers have predicted the locations of replication origins sites for thousands of bacterial chromosomes and archaeal genomes. Based on the predicted results, we should choose an effective method for identifying and confirming the interactions at origins of replication. Here we describe the main existing experimental methods that aimed to determine the replication origin regions and list some of the many the practical applications of these methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.