Evidence map›Paper›PMID 40071933›Full record

ArticleNucleic acids research2025

DNAcycP2: improved estimation of intrinsic DNA cyclizability through data augmentation.

Brody Kendall, Chong Jin, Keren Li, Feng Ruan, Xiaozhong Wang, Ji-Ping Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Brody KendallDepartment of Statistics and Data Science, Northwestern University, 633 Clark Street, Evanston, IL 60208, United States.
Chong JinDepartment of Mathematical Sciences, New Jersey Institute of Technology, 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, United States.
Keren LiDepartment of Mathematics, University of Alabama at Birmingham, 1720 University Blvd, Birmingham, AL 35294, United States.
Feng RuanDepartment of Statistics and Data Science, Northwestern University, 633 Clark Street, Evanston, IL 60208, United States.
Xiaozhong WangDepartment of Molecular Biosciences, Northwestern University, 633 Clark Street, Evanston, IL 60208, United States.ORCID 0000-0003-0219-0752
Ji-Ping WangDepartment of Statistics and Data Science, Northwestern University, 633 Clark Street, Evanston, IL 60208, United States.ORCID 0000-0002-8398-939X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loop-seq is a pioneering high-throughput assay that enables the simultaneous quantification of intrinsic cyclizability across a large set of DNA fragments. However, the assay's reliance on biotin-tethered elongated DNA fragments introduces a tethering effect, leading to biased cyclizability measurements. We demonstrate that the current de-biasing technique is inadequate for fully mitigating this bias. To address this, we introduce DNAcycP2, an enhanced software tool that extends the capabilities of our previous platform, DNAcycP. DNAcycP2 incorporates a novel data augmentation approach to more effectively eliminate biotin tether bias, yielding more accurate estimates of intrinsic DNA cyclizability. Additionally, DNAcycP2 offers improved computational efficiency and expands accessibility through a newly developed R package alongside its existing Python package and web server, ensuring broader utility for the research community.

Indexed as

DNASoftwareBiotinCyclizationHigh-Throughput Nucleotide SequencingSequence Analysis, DNABiotinDNA

Identifiers

PMID40071933
PMCPMC11897897

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Registered trials

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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.