Evidence map›Paper›PMID 28594838›Full record

ReviewPLoS computational biology2017

A comprehensive overview and evaluation of circular RNA detection tools.

Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou

Abstract readReview
In one paragraph

Review in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed, 1 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

203 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
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  12. Article
  13. Review
  14. Review
  15. Challenges and Future Prospectives in Circular RNA Investigation.Advances in experimental medicine and biology · 2025
    Review
  16. Circular RNAs in Archaea.Advances in experimental medicine and biology · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

143 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Xiangxiang ZengSchool of Information Science and Engineering, Xiamen University, Xiamen, China.
Wei LinSchool of Information Science and Engineering, Xiamen University, Xiamen, China.ORCID http://orcid.org/0000-0002-7208-3488
Maozu GuoSchool of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China.
Quan ZouSchool of Computer Science and Technology, Tianjin University, Tianjin, China.ORCID http://orcid.org/0000-0001-6406-1142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNA (circRNA) is mainly generated by the splice donor of a downstream exon joining to an upstream splice acceptor, a phenomenon known as backsplicing. It has been reported that circRNA can function as microRNA (miRNA) sponges, transcriptional regulators, or potential biomarkers. The availability of massive non-polyadenylated transcriptomes data has facilitated the genome-wide identification of thousands of circRNAs. Several circRNA detection tools or pipelines have recently been developed, and it is essential to provide useful guidelines on these pipelines for users, including a comprehensive and unbiased comparison. Here, we provide an improved and easy-to-use circRNA read simulator that can produce mimicking backsplicing reads supporting circRNAs deposited in CircBase. Moreover, we compared the performance of 11 circRNA detection tools on both simulated and real datasets. We assessed their performance regarding metrics such as precision, sensitivity, F1 score, and Area under Curve. It is concluded that no single method dominated on all of these metrics. Among all of the state-of-the-art tools, CIRI, CIRCexplorer, and KNIFE, which achieved better balanced performance between their precision and sensitivity, compared favorably to the other methods.

Indexed as

Databases, Nucleic AcidRNASequence AlignmentSequence Analysis, RNABase SequenceDatabase Management SystemsHeLa CellsHumansRNA, CircularRNARNA, Circular

Identifiers

PMID28594838
PMCPMC5466358

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.