Evidence map›Paper›PMID 28056037›Full record

ArticlePloS one2017

Accurate Promoter and Enhancer Identification in 127 ENCODE and Roadmap Epigenomics Cell Types and Tissues by GenoSTAN.

Benedikt Zacher, Margaux Michel, Björn Schwalb, Patrick Cramer, Achim Tresch, Julien Gagneur

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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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

51 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.

Benedikt ZacherGene Center and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität Munich, Germany.
Margaux MichelDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Björn SchwalbDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Patrick CramerDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Achim TreschDepartment of Biology, University of Cologne, Cologne, Germany.
Julien GagneurGene Center and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität Munich, Germany.ORCID http://orcid.org/0000-0002-8924-8365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate maps of promoters and enhancers are required for understanding transcriptional regulation. Promoters and enhancers are usually mapped by integration of chromatin assays charting histone modifications, DNA accessibility, and transcription factor binding. However, current algorithms are limited by unrealistic data distribution assumptions. Here we propose GenoSTAN (Genomic STate ANnotation), a hidden Markov model overcoming these limitations. We map promoters and enhancers for 127 cell types and tissues from the ENCODE and Roadmap Epigenomics projects, today's largest compendium of chromatin assays. Extensive benchmarks demonstrate that GenoSTAN generally identifies promoters and enhancers with significantly higher accuracy than previous methods. Moreover, GenoSTAN-derived promoters and enhancers showed significantly higher enrichment of complex trait-associated genetic variants than current annotations. Altogether, GenoSTAN provides an easy-to-use tool to define promoters and enhancers in any system, and our annotation of human transcriptional cis-regulatory elements constitutes a rich resource for future research in biology and medicine.

Indexed as

AlgorithmsChromatinComputational BiologyEnhancer Elements, GeneticEpigenomicsHistonesHumansPromoter Regions, GeneticRegulatory Elements, TranscriptionalChromatinHistones

Identifiers

PMID28056037
PMCPMC5215863

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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.