ArticleBioinformatics (Oxford, England)2022
Automatic DNA replication tract measurement to assess replication and repair dynamics at the single-molecule level.
Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The trial behind it
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
8 citing papers in PubMed, 15 citations in OpenAlex.
- RAD51C breast cancer-identified variants with attenuated homologous recombination function exhibit sensitivity to combined PARP1 and ATR inhibition.NAR cancer · 2026Article
- Spatial organization and dynamics of genome replication: from forks to foci.Nucleic acids research · 2026Review
- DNAi: an open-source AI tool for unbiased DNA fiber analysis.Nucleic acids research · 2026Article
- A Quantitative DNA Fiber Assay to Monitor Replication Fork Progression, Protection, and Restart.Bio-protocol · 2026Article
- Spatial mapping of DNA synthesis reveals dynamics and geometry of human replication nanostructures.The EMBO journal · 2025Article
- TopBP1 biomolecular condensates as a new therapeutic target in advanced-stage colorectal cancer.eLife · 2025Article
- Comprehensive RAD51C ovarian cancer variant analysis uncouples homologous recombination and replicative functions.Nature communications · 2025Article
- ANP32E drives vulnerability to ATR inhibitors by inducing R-loops-dependent transcription replication conflicts in triple negative breast cancer.Nature communications · 2025Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
motivationDNA fibre assay has a potential application in genomic medicine, cancer and stem cell research at the single-molecule level. A major challenge for the clinical and research implementation of DNA fibre assays is the slow speed in which manual analysis takes place as it limits the clinical actionability. While automatic detection of DNA fibres speeds up this process considerably, current publicly available software have limited features in terms of their user interface for manual correction of results, which in turn limit their accuracy and ability to account for atypical structures that may be important in diagnosis or investigative studies. We recognize that core improvements can be made to the GUI to allow for direct interaction with automatic results to preserve accuracy as well as enhance the versatility of automatic DNA fibre detection for use in variety of situations.
resultsTo address the unmet needs of diverse DNA fibre analysis investigations, we propose DNA Stranding, an open-source software that is able to perform accurate fibre length quantification (13.22% mean relative error) and fibre pattern recognition (R > 0.93) with up to six fibre patterns supported. With the graphical interface, we developed, user can conduct semi-automatic analyses which benefits from the advantages of both automatic and manual processes to improve workflow efficiency without compromising accuracy. AVAILABILITY AND IMPLEMENTATION: The software package is available at https://github.com/lgole/DNAStranding. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.