Evidence map›Paper›PMID 32103237›Full record

ReviewBriefings in bioinformatics2021

The bioinformatics toolbox for circRNA discovery and analysis.

Liang Chen, Changliang Wang, Huiyan Sun, Juexin Wang, Yanchun Liang, Yan Wang, Garry Wong

Open access · greenAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 2 pooled it
16.7field-weighted citation impact, top 1% of its field
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

233 citing papers in PubMed, 2 syntheses or guidelines pooled it, 412 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Non-Coding RNAs in Oral Diseases: From Pathogenesis to Clinical Translation.International journal of molecular sciences · 2026
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  14. Targeting CEBPA/ALOX15B attenuates postmenopausal osteoporosis by inhibiting ferroptosis through the AMPK/mTOR signaling pathway.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
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  16. Whole genome circRNA profiling ofDrug metabolism and personalized therapy · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

173 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

7 authors at 4 institutions in 3 countries.

Liang ChenDepartment of Computer Science, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, Shantou University.
Changliang WangFaculty of Health Sciences, University of Macau.
Huiyan SunSchool of Artificial Intelligence, Jilin University.
Juexin WangDepartment of Electrical Engineering and Computer Science and Bond Life Science Center, University of Missouri.
Yanchun LiangCollege of Computer Science and Technology, Jilin University.
Yan WangCollege of Computer Science and Technology, Jilin University.
Garry WongFaculty of Health Sciences, University of Macau.
Jilin University · CNUniversity of Macau · MOShantou University · CNUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) are a unique class of RNA molecule identified more than 40 years ago which are produced by a covalent linkage via back-splicing of linear RNA. Recent advances in sequencing technologies and bioinformatics tools have led directly to an ever-expanding field of types and biological functions of circRNAs. In parallel with technological developments, practical applications of circRNAs have arisen including their utilization as biomarkers of human disease. Currently, circRNA-associated bioinformatics tools can support projects including circRNA annotation, circRNA identification and network analysis of competing endogenous RNA (ceRNA). In this review, we collected about 100 circRNA-associated bioinformatics tools and summarized their current attributes and capabilities. We also performed network analysis and text mining on circRNA tool publications in order to reveal trends in their ongoing development.

Indexed as

BiomarkersComputational BiologyDatabases, GeneticHigh-Throughput Nucleotide SequencingHumansRNA, CircularRNA SplicingBiomarkersRNA, Circularbioinformatics toolscircRNAdisease biomarkernext generation sequencingnon-coding RNAtext mining

Identifiers

PMID32103237
PMCPMC7986655
OpenAlexW3008929648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.