Evidence map›Paper›PMID 36699364›Full record

ArticleBioinformatics advances2022

CTCF: an R/bioconductor data package of human and mouse CTCF binding sites.

Mikhail G Dozmorov, Wancen Mu, Eric S Davis, Stuart Lee, Timothy J Triche, Douglas H Phanstiel, Michael I Love

Abstract read
In one paragraph

Article in Bioinformatics advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  7. Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  8. Article
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  15. A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  16. Article
  17. Article
  18. Article
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

7 authors.

Mikhail G DozmorovDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID https://orcid.org/0000-0002-0086-8358
Wancen MuDepartment of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA.ORCID https://orcid.org/0000-0002-5061-7581
Eric S DavisCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID https://orcid.org/0000-0003-4051-3217
Stuart LeeDepartment of Econometrics and Business Statistics, Monash University, Clayton, NC 3168, Australia.ORCID https://orcid.org/0000-0003-1179-8436
Timothy J TricheCenter for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA.ORCID https://orcid.org/0000-0001-5665-946X
Douglas H PhanstielCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID https://orcid.org/0000-0003-2123-0051
Michael I LoveDepartment of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC 27514, USA.ORCID https://orcid.org/0000-0001-8401-0545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: CTCF (CCCTC-binding factor) is an 11-zinc-finger DNA binding protein which regulates much of the eukaryotic genome's 3D structure and function. The diversity of CTCF binding motifs has led to a fragmented landscape of CTCF binding data. We collected position weight matrices of CTCF binding motifs and defined strand-oriented CTCF binding sites in the human and mouse genomes, including the recent Telomere to Telomere and mm39 assemblies. We included selected experimentally determined and predicted CTCF binding sites, such as CTCF-bound cis-regulatory elements from SCREEN ENCODE. We recommend filtering strategies for CTCF binding motifs and demonstrate that liftOver is a viable alternative to convert CTCF coordinates between assemblies. Our comprehensive data resource and usage recommendations can serve to harmonize and strengthen the reproducibility of genomic studies utilizing CTCF binding data. Availability and implementation: https://bioconductor.org/packages/CTCF. Companion website: https://dozmorovlab.github.io/CTCF/; Code to reproduce the analyses: https://github.com/dozmorovlab/CTCF.dev. Supplementary information: Supplementary data are available at

Identifiers

PMID36699364
PMCPMC9793704

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.