Evidence map›Paper›PMID 41034498›Full record

ArticleNature biotechnology2026

Detecting and quantifying circular RNAs in terabyte-scale RNA-seq datasets with CIRI3.

Xin Zheng, Jinyang Zhang, Lipu Song, Xiang Jennie Li, Fangqing Zhao, Yuan Gao

Abstract read
In one paragraph

Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  8. Review
  9. Article
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

6 authors.

Xin Zheng *China National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Jinyang Zhang *Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-5163-894X
Lipu Song *China National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Xiang Jennie LiChina National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-8829-3511
Fangqing ZhaoUniversity of Chinese Academy of Sciences, Beijing, China. zhfq@ioz.ac.cn.ORCID http://orcid.org/0000-0002-6216-1235
Yuan GaoChina National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. gaoy@big.ac.cn.ORCID http://orcid.org/0000-0002-9510-6515

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 32025009, 32130020
6 · The paper itself

Abstract

To address recent challenges in circular RNA (circRNA) analysis, we present CIRI3, a tool for circRNA detection and quantification in terabyte-scale RNA-sequencing datasets. Using dynamic multithreaded task partitioning and a blocking search strategy for junction reads, CIRI3 is an order of magnitude faster than existing tools, while providing increased accuracy. We identified differentially spliced circRNAs across 2,535 cancer-related samples, and constructed a pretraining model and a biomarker network provided as the CIRIonco database.

Indexed as

RNARNA, CircularRNA-SeqSequence Analysis, RNASoftwareHumansNeoplasmsRNARNA, Circular

Identifiers

PMID41034498
PMCPMC13558059

What OpenQuestion holds

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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.