Evidence map›Paper›PMID 30407534›Full record

ArticleNucleic acids research2019

The UCSC Genome Browser database: 2019 update.

Maximilian Haeussler, Ann S Zweig, Cath Tyner, Matthew L Speir, Kate R Rosenbloom, Brian J Raney, Christopher M Lee, Brian T Lee, Angie S Hinrichs, Jairo Navarro Gonzalez and 8 more

Abstract 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 477 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
477citing papers in PubMed, 2 pooled it
–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

477 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Mutational patterns in a large cohort of parathyroid carcinomas.Journal of endocrinological investigation · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Rare protein-disrupting variants inmedRxiv : the preprint server for health sciences · 2026
    Article
  10. Circulation. Genomic and precision medicine · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

417 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

18 authors.

Maximilian HaeusslerGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Ann S ZweigGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Cath TynerGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Matthew L SpeirGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Kate R RosenbloomGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Brian J RaneyGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Christopher M LeeGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Brian T LeeGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Angie S HinrichsGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Jairo Navarro GonzalezGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
David GibsonGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Mark DiekhansGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Hiram ClawsonGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Jonathan CasperGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Galt P BarberGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
David HausslerGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Robert M KuhnGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
W James KentGenomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.

Funding

The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
A Cellular Resolution Census of the Developing Human BrainU01MH114825 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, ERIC J, KRIEGSTEIN, ARNOLD · 2017 to 2021
$6.7M
NHGRI NIH HHS U41 HG002371NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U54 HG007990NIMH NIH HHS U01 MH114825
6 · The paper itself

Abstract

The UCSC Genome Browser (https://genome.ucsc.edu) is a graphical viewer for exploring genome annotations. For almost two decades, the Browser has provided visualization tools for genetics and molecular biology and continues to add new data and features. This year, we added a new tool that lets users interactively arrange existing graphing tracks into new groups. Other software additions include new formats for chromosome interactions, a ChIP-Seq peak display for track hubs and improved support for HGVS. On the annotation side, we have added gnomAD, TCGA expression, RefSeq Functional elements, GTEx eQTLs, CRISPR Guides, SNPpedia and created a 30-way primate alignment on the human genome. Nine assemblies now have RefSeq-mapped gene models.

Indexed as

Databases, GeneticGenomicsSoftwareAnimalsChromosome MappingGenomeGenome, HumanHumansMolecular Sequence AnnotationWeb Browser

Identifiers

PMID30407534
PMCPMC6323953

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.