Evidence map›Paper›PMID 27739534›Full record

ReviewNature reviews. Genetics2016

Detecting circular RNAs: bioinformatic and experimental challenges.

Linda Szabo, Julia Salzman

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 433 papers.

0numbers the graph read from it
0cells of the map it votes in
433citing 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

433 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Non-Coding RNAs in Oral Diseases: From Pathogenesis to Clinical Translation.International journal of molecular sciences · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
  11. BRCA1P1 immunotherapy requires pseudogene-aware transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review

373 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.

Linda SzaboStanford Biomedical Informatics Training Program, Stanford, California 94305, USA.
Julia SalzmanStanford Department of Biochemistry, Department of Biomedical Data Science, Stanford Cancer Institute, Stanford, California 94305, USA.

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Unbiased discovery of mechanisms regulating circRNAR01GM116847 · NIGMS · STANFORD UNIVERSITY · PI SALZMAN, JULIA · 2015 to 2019
$1.6M
Discovering genomic rearrangements under selection in serious ovarian cancerR00CA168987 · NCI · STANFORD UNIVERSITY · PI SALZMAN, JULIA · 2014 to 2016
$704k
NCI NIH HHS R00 CA168987NIGMS NIH HHS R01 GM116847NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

The pervasive expression of circular RNAs (circRNAs) is a recently discovered feature of gene expression in highly diverged eukaryotes. Numerous algorithms that are used to detect genome-wide circRNA expression from RNA sequencing (RNA-seq) data have been developed in the past few years, but there is little overlap in their predictions and no clear gold-standard method to assess the accuracy of these algorithms. We review sources of experimental and bioinformatic biases that complicate the accurate discovery of circRNAs and discuss statistical approaches to address these biases. We conclude with a discussion of the current experimental progress on the topic.

Indexed as

Computational BiologyDatabases, Nucleic AcidHumansMolecular Sequence AnnotationRNARNA, CircularSequence Analysis, RNASoftwareRNARNA, Circular

Identifiers

PMID27739534
PMCPMC5565156

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.