Evidence map›Paper›PMID 30428075›Full record

ArticleNucleic acids research2019

BiFET: sequencing Bias-free transcription factor Footprint Enrichment Test.

Ahrim Youn, Eladio J Marquez, Nathan Lawlor, Michael L Stitzel, Duygu Ucar

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  8. Review
  9. Analytical Approaches for ATAC-seq Data Analysis.Current protocols in human genetics · 2020
    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

5 authors at 1 institution in 1 country.

Ahrim YounThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Eladio J MarquezThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Nathan LawlorThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Michael L StitzelThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Duygu UcarThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Jackson Laboratory · US

Funding

Identification and Interpretation of Chromatin Changes Associated with the Aging of Human Immune CellsR35GM124922 · NIGMS · JACKSON LABORATORY · PI UCAR, DUYGU · 2017 to 2021
$2.3M
NIGMS NIH HHS R35 GM124922
6 · The paper itself

Abstract

Transcription factor (TF) footprinting uncovers putative protein-DNA binding via combined analyses of chromatin accessibility patterns and their underlying TF sequence motifs. TF footprints are frequently used to identify TFs that regulate activities of cell/condition-specific genomic regions (target loci) in comparison to control regions (background loci) using standard enrichment tests. However, there is a strong association between the chromatin accessibility level and the GC content of a locus and the number and types of TF footprints that can be detected at this site. Traditional enrichment tests (e.g. hypergeometric) do not account for this bias and inflate false positive associations. Therefore, we developed a novel post-processing method, Bias-free Footprint Enrichment Test (BiFET), that corrects for the biases arising from the differences in chromatin accessibility levels and GC contents between target and background loci in footprint enrichment analyses. We applied BiFET on TF footprint calls obtained from EndoC-βH1 ATAC-seq samples using three different algorithms (CENTIPEDE, HINT-BC and PIQ) and showed BiFET's ability to increase power and reduce false positive rate when compared to hypergeometric test. Furthermore, we used BiFET to study TF footprints from human PBMC and pancreatic islet ATAC-seq samples to show its utility to identify putative TFs associated with cell-type-specific loci.

Indexed as

AlgorithmsBase CompositionBiasCell LineDNAHumansNucleotide MotifsSequence Analysis, DNASoftwareTranscription FactorsDNATranscription Factors

Identifiers

PMID30428075
PMCPMC6344870
OpenAlexW2901572158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.