Evidence map›Paper›PMID 31462275›Full record

ArticleGenome biology2019

A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types.

Maxwell W Libbrecht, Oscar L Rodriguez, Zhiping Weng, Jeffrey A Bilmes, Michael M Hoffman, William Stafford Noble

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  5. Article
  6. Robust chromatin state annotation.Genome research · 2024
    Article
  7. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Mouse genomic and cellular annotations.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Analysis of the landscape of human enhancer sequences in biological databases.Computational and structural biotechnology journal · 2022
    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

6 authors at 5 institutions in 2 countries.

Maxwell W LibbrechtSchool of Computing Science, Simon Fraser University, Burnaby, Canada.
Oscar L RodriguezDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Boston, USA.
Jeffrey A BilmesDepartment of Electrical Engineering, University of Washington, Seattle, USA.
Michael M HoffmanPrincess Margaret Cancer Centre, Toronto, Canada.
William Stafford NobleDepartment of Genome Sciences, University of Washington, Seattle, USA. wnoble@uw.edu.ORCID http://orcid.org/0000-0001-7283-4715
University of Washington · USIcahn School of Medicine at Mount Sinai · USSimon Fraser University · CAUniversity of Massachusetts Chan Medical School · USUniversity of Toronto · CA

Funding

EDAC: ENCODE Data Analysis CenterU24HG009446 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GERSTEIN, MARK BENDER, WENG, ZHIPING · 2017 to 2022
$10.4M
EDAC: ENCODE Data Analysis CenterU41HG007000 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WENG, ZHIPING · 2012 to 2016
$9.8M
Diversity Action Plan: UW GenOM ProjectR25HG007153 · NHGRI · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2013 to 2020
$2.3M
NHGRI NIH HHS R25 HG007153NHGRI NIH HHS U24 HG009446NHGRI NIH HHS U24HG009446NHGRI NIH HHS U41 HG007000NHGRI NIH HHS U41HG007000
6 · The paper itself

Abstract

Semi-automated genome annotation methods such as Segway take as input a set of genome-wide measurements such as of histone modification or DNA accessibility and output an annotation of genomic activity in the target cell type. Here we present annotations of 164 human cell types using 1615 data sets. To produce these annotations, we automated the label interpretation step to produce a fully automated annotation strategy. Using these annotations, we developed a measure of the importance of each genomic position called the "conservation-associated activity score." We further combined all annotations into a single, cell type-agnostic encyclopedia that catalogs all human regulatory elements.

Indexed as

Databases, GeneticMolecular Sequence AnnotationAlgorithmsAutomationCell LineDNAHumansMachine LearningPhenotypeTranscription, GeneticDNAChromatinGenomicsMachine learning

Identifiers

PMID31462275
PMCPMC6714098
OpenAlexW2970044521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.