PcircRNA_finder: a software for circRNA prediction in plants

被引：56

作者：

Chen, Li ^{[1
,2
]}

Yu, Yongyi ^{[1
,2
]}

Zhang, Xinchen ^{[1
,2
]}

Liu, Chen ^{[1
,2
]}

Ye, Chuyu ^{[1
,2
]}

Fan, Longjiang ^{[1
,2
,3
]}

机构：

[1] Zhejiang Univ, Inst Crop Sci, Hangzhou 310058, Zhejiang, Peoples R China

[2] Zhejiang Univ, Inst Bioinformat, Hangzhou 310058, Zhejiang, Peoples R China

[3] Zhejiang Univ, Res Ctr Air Pollut & Hlth, Hangzhou 310058, Zhejiang, Peoples R China

来源：

BIOINFORMATICS | 2016年 / 32卷 / 22期

基金：

美国国家科学基金会;

关键词：

CIRCULAR RNAS; FUSION; ALGORITHM;

D O I：

10.1093/bioinformatics/btw496

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: Recent studies reveal an important role of non-coding circular RNA (circRNA) in the control of cellular processes. Because of differences in the organization of plant and mammal genomes, the sensitivity and accuracy of circRNA prediction programs using algorithms developed for animals and humans perform poorly for plants. Results: A circRNA prediction software for plants (termed PcircRNA_finder) was developed that is more sensitive in detecting circRNAs than other frequently used programs (such as find_circ and CIRCexplorer), Based on analysis of simulated and real rRNA-/RNAase R RNA-Seq data from Arabidopsis thaliana and rice PcircRNA_finder provides a more comprehensive sensitive, precise prediction method for plants circRNAs.

引用

页码：3528 / 3529

页数：2

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