ArticleMethods in molecular biology (Clifton, N.J.)2022
Robust Computational Approaches to Defining Insights on the Interface of DNA Repair with Replication and Transcription in Cancer.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- RNA/DNA-binding protein TDP43 regulates DNA mismatch repair genes with implications for genome stability.Nucleic acids research · 2025Article
- RNA/DNA Binding Protein TDP43 Regulates DNA Mismatch Repair Genes with Implications for Genome Stability.bioRxiv : the preprint server for biology · 2025Article
- Novobiocin blocks nucleic acid binding to Polθ and inhibits stimulation of its ATPase activity.Nucleic acids research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The massive amount of experimental DNA and RNA sequence information provides an encyclopedia for cell biology that requires computational tools for efficient interpretation. The ability to write and apply simple computing scripts propels the investigator beyond the boundaries of online analysis tools to more broadly interrogate laboratory experimental data and to integrate them with all available datasets to test and challenge hypotheses. Here we describe robust prototypic bash and C++ scripts with metrics and methods for validation that we have made publicly available to address the roles of non-B DNA-forming motifs in eliciting genetic instability and to query The Cancer Genome Atlas. Importantly, the methods presented provide practical data interpretation tools to examine fundamental relationships and to enable insights and correlations between alterations in gene expression patterns and patient outcome. The exemplary source codes described are simple and can be efficiently modified, elaborated, and applied to other relationships and areas of investigation.
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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.