Evidence map›Paper›PMID 30013032›Full record

ArticleActa pharmacologica Sinica2019

CircRNAFisher: a systematic computational approach for de novo circular RNA identification.

Guo-Yi Jia, Duo-Lin Wang, Meng-Zhu Xue, Yu-Wei Liu, Yu-Chen Pei, Ying-Qun Yang, Jing-Mei Xu, Yan-Chun Liang, Peng Wang

Abstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  9. InnovativeFrontiers in genetics · 2022
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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

9 authors.

Guo-Yi JiaSchool of Life Sciences, Shanghai University, Shanghai, 200444, China.
Duo-Lin WangKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China.
Meng-Zhu XueLaboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Yu-Wei LiuLaboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Yu-Chen PeiLaboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Ying-Qun YangLaboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Jing-Mei XuLaboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Yan-Chun LiangKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China. ycliang@jlu.edu.cn.
Peng WangLaboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China. wangpeng@picb.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) are emerging species of mRNA splicing products with largely unknown functions. Although several computational pipelines for circRNA identification have been developed, these methods strictly rely on uniquely mapped reads overlapping back-splice junctions (BSJs) and lack approaches to model the statistical significance of the identified circRNAs. Here, we reported a systematic computational approach to identify circRNAs by simultaneously utilizing BSJ overlapping reads and discordant BSJ spanning reads to identify circRNAs. Moreover, we developed a novel procedure to estimate the P-values of the identified circRNAs. A computational cross-validation and experimental validations demonstrated that our method performed favorably compared to existing circRNA detection tools. We created a standalone tool, CircRNAFisher, to implement the method, which might be valuable to computational and experimental scientists studying circRNAs.

Indexed as

AlgorithmsCell Line, TumorComputational BiologyFibroblastsHumansRNARNA, CircularSequence Analysis, RNARNARNA, Circularalternative splicingcircRNApipelineRNA-Seq

Identifiers

PMID30013032
PMCPMC6318271

What OpenQuestion holds

Textmetadata
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.