Evidence map›Paper›PMID 26901649›Full record

ArticleNature methods2016

Analysis of computational footprinting methods for DNase sequencing experiments.

Eduardo G Gusmao, Manuel Allhoff, Martin Zenke, Ivan G Costa

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The chromatin accessibility landscape during early maize seed development.The Plant journal : for cell and molecular biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. An autoimmune transcriptional circuit drives FOXP3Science translational medicine · 2024
    Article
  12. Article
  13. XL-DNase-Seq: Footprinting Analysis of Dynamic Transcription Factors.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. PlantCADB: A Comprehensive Plant Chromatin Accessibility Database.Genomics, proteomics & bioinformatics · 2023
    Article
  19. Article
  20. Article

34 more citing papers are in PubMed but not listed here.

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

4 authors.

Eduardo G GusmaoIZKF Computational Biology Research Group, RWTH Aachen University Medical School, Aachen, Germany.ORCID http://orcid.org/0000-0001-7461-1443
Manuel AllhoffIZKF Computational Biology Research Group, RWTH Aachen University Medical School, Aachen, Germany.
Martin ZenkeDepartment of Cell Biology, Institute of Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany.
Ivan G CostaIZKF Computational Biology Research Group, RWTH Aachen University Medical School, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNase-seq allows nucleotide-level identification of transcription factor binding sites on the basis of a computational search of footprint-like DNase I cleavage patterns on the DNA. Frequently in high-throughput methods, experimental artifacts such as DNase I cleavage bias affect the computational analysis of DNase-seq experiments. Here we performed a comprehensive and systematic study on the performance of computational footprinting methods. We evaluated ten footprinting methods in a panel of DNase-seq experiments for their ability to recover cell-specific transcription factor binding sites. We show that three methods--HINT, DNase2TF and PIQ--consistently outperformed the other evaluated methods and that correcting the DNase-seq signal for experimental artifacts significantly improved the accuracy of computational footprints. We also propose a score that can be used to detect footprints arising from transcription factors with potentially short residence times.

Indexed as

SoftwareAlgorithmsBinding SitesChromatinChromatin ImmunoprecipitationComputational BiologyDeoxyribonuclease IDNA FootprintingHigh-Throughput Nucleotide SequencingHumansK562 CellsProtein BindingSequence Analysis, DNATranscription FactorsChromatinDeoxyribonuclease ITranscription Factors

Identifiers

PMID26901649

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.