Evidence map›Paper›PMID 23632163›Full record

ArticleNucleic acids research2013

The Genomic HyperBrowser: an analysis web server for genome-scale data.

Geir K Sandve, Sveinung Gundersen, Morten Johansen, Ingrid K Glad, Krishanthi Gunathasan, Lars Holden, Marit Holden, Knut Liestøl, Ståle Nygård, Vegard Nygaard and 11 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Article
  12. Bioinformatics Analysis of Estrogen-Responsive Genes.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  13. Article
  14. Genome-wide study of correlations between genomic features and their relationship with the regulation of gene expression.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
  15. Article
  16. Article
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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

21 authors.

Geir K SandveDepartment of Informatics, University of Oslo, PO Box 1080, Blindern, 0316 Oslo, Norway.
Sveinung Gundersen
Morten Johansen
Ingrid K Glad
Krishanthi Gunathasan
Lars Holden
Marit Holden
Knut Liestøl
Ståle Nygård
Vegard Nygaard
Jonas Paulsen
Halfdan Rydbeck
Kai Trengereid
Trevor Clancy
Finn Drabløs
Egil Ferkingstad
Matús Kalas
Tonje Lien
Morten B Rye
Arnoldo Frigessi
Eivind Hovig

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable biological questions. With this opportunity, however, researchers are faced with the challenge of how to best analyze and interpret their genome-scale datasets. A powerful way of representing genome-scale data is as feature-specific coordinates relative to reference genome assemblies, i.e. as genomic tracks. The Genomic HyperBrowser (http://hyperbrowser.uio.no) is an open-ended web server for the analysis of genomic track data. Through the provision of several highly customizable components for processing and statistical analysis of genomic tracks, the HyperBrowser opens for a range of genomic investigations, related to, e.g., gene regulation, disease association or epigenetic modifications of the genome.

Indexed as

SoftwareData Interpretation, StatisticalGenomeGenomicsInternet

Identifiers

PMID23632163
PMCPMC3692097

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.