Evidence map›Paper›PMID 32345360›Full record

ArticleGenome biology2020

CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes.

Wanying Wu, Peifeng Ji, Fangqing Zhao

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 235 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
235citing papers in PubMed, 1 pooled it
24.0field-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

235 citing papers in PubMed, 1 synthesis or guideline pooled it, 440 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. DecipheringGenes · 2026
    Article
  5. Article
  6. Review
  7. Acta pharmaceutica Sinica. B · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Whole genome circRNA profiling ofDrug metabolism and personalized therapy · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

175 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

3 authors at 3 institutions in 1 country.

Wanying WuComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
Peifeng JiComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
Fangqing ZhaoComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China. zhfq@biols.ac.cn.
Beijing Institute of Genomics · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing circular RNA (circRNA) databases have become essential for transcriptomics. However, most are unsuitable for mining in-depth information for candidate circRNA prioritization. To address this, we integrate circular transcript collections to develop the circAtlas database based on 1070 RNA-seq samples collected from 19 normal tissues across six vertebrate species. This database contains 1,007,087 highly reliable circRNAs, of which over 81.3% have been assembled into full-length sequences. We profile their expression pattern, conservation, and functional annotation. We describe a novel multiple conservation score, co-expression, and regulatory networks for circRNA annotation and prioritization. CircAtlas can be accessed at http://circatlas.biols.ac.cn/.

Indexed as

Databases, Nucleic AcidTranscriptomeAnimalsConserved SequenceHumansMiceMolecular Sequence AnnotationRatsRNA-Binding ProteinsRNA, CircularRNA-SeqVertebratesRNA-Binding ProteinsRNA, CircularcircAtlascircRNAFunctional prioritizationMultiple conservation score

Identifiers

PMID32345360
PMCPMC7187532
OpenAlexW3020614442

What OpenQuestion holds

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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.