Evidence map›Paper›PMID 26508757›Full record

ArticleBioinformatics (Oxford, England)2016

LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor.

Nathan C Sheffield, Christoph Bock

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
306citing papers in PubMed, 6 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

306 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Modular genetic architecture underlies human hand and foot evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article

246 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

2 authors.

Nathan C SheffieldCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences.
Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Department of Laboratory Medicine, Medical University of Vienna, 1090 Vienna, Austria and Max Planck Institute for Informatics, 66123 Saarbrücken, Germany.

Funding

Austrian Science Fund FWF I 1575
6 · The paper itself

Abstract

unlabelledGenomic datasets are often interpreted in the context of large-scale reference databases. One approach is to identify significantly overlapping gene sets, which works well for gene-centric data. However, many types of high-throughput data are based on genomic regions. Locus Overlap Analysis (LOLA) provides easy and automatable enrichment analysis for genomic region sets, thus facilitating the interpretation of functional genomics and epigenomics data. AVAILABILITY AND IMPLEMENTATION: R package available in Bioconductor and on the following website: http://lola.computational-epigenetics.org.

Indexed as

Genome, HumanSoftwareComputational BiologyDatabases, FactualEpigenomicsGene Regulatory NetworksGenomicsHumansRegulatory Sequences, Nucleic AcidSequence Analysis, DNA

Identifiers

PMID26508757
PMCPMC4743627

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.