Evidence map›Paper›PMID 29126307›Full record

ArticleNucleic acids research2018

Universal correction of enzymatic sequence bias reveals molecular signatures of protein/DNA interactions.

André L Martins, Ninad M Walavalkar, Warren D Anderson, Chongzhi Zang, Michael J Guertin

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Functional Characterization of Accessible Chromatin in Common Wheat.International journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  16. Review
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  18. Article
  19. The ThioesteraseOmics : a journal of integrative biology · 2021
    Article
  20. Review
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

5 authors.

André L MartinsBiochemistry and Molecular Genetics Department, University of Virginia, Charlottesville, Virginia, USA.
Ninad M WalavalkarBiochemistry and Molecular Genetics Department, University of Virginia, Charlottesville, Virginia, USA.
Warren D AndersonBiochemistry and Molecular Genetics Department, University of Virginia, Charlottesville, Virginia, USA.
Chongzhi ZangBiochemistry and Molecular Genetics Department, University of Virginia, Charlottesville, Virginia, USA.
Michael J GuertinBiochemistry and Molecular Genetics Department, University of Virginia, Charlottesville, Virginia, USA.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jay William FOX · 1987 to 2026
$72.1M
BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
Mechanisms of coordinate gene regulation by transcription factorsR35GM128635 · NIGMS · UNIVERSITY OF VIRGINIA · PI Michael Joseph Guertin · 2018 to 2026
$3.4M
Quantitative Modeling for Chromatin Regulation of Gene Expression in CancerK22CA204439 · NCI · UNIVERSITY OF VIRGINIA · PI ZANG, CHONGZHI · 2017 to 2019
$577k
NCI NIH HHS K22 CA204439NCI NIH HHS P30 CA044579NHLBI NIH HHS T32 HL007284NIGMS NIH HHS R35 GM128635
6 · The paper itself

Abstract

Coupling molecular biology to high-throughput sequencing has revolutionized the study of biology. Molecular genomics techniques are continually refined to provide higher resolution mapping of nucleic acid interactions and structure. Sequence preferences of enzymes can interfere with the accurate interpretation of these data. We developed seqOutBias to characterize enzymatic sequence bias from experimental data and scale individual sequence reads to correct intrinsic enzymatic sequence biases. SeqOutBias efficiently corrects DNase-seq, TACh-seq, ATAC-seq, MNase-seq and PRO-seq data. We show that seqOutBias correction facilitates identification of true molecular signatures resulting from transcription factors and RNA polymerase interacting with DNA.

Indexed as

AlgorithmsBiasComputational BiologyDeoxyribonucleasesDNADNA-Directed RNA PolymerasesGenomicsHigh-Throughput Nucleotide SequencingProtein BindingReproducibility of ResultsTranscription FactorsDeoxyribonucleasesDNADNA-Directed RNA PolymerasesTranscription Factors

Identifiers

PMID29126307
PMCPMC5778497

What OpenQuestion holds

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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.