FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification

被引:11
|
作者
Hossain, Md. Tofazzal [1 ,2 ]
Peng, Yin [3 ]
Feng, Shengzhong [1 ]
Wei, Yanjie [1 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Joint Engn Res Ctr Hlth Big Data Intelligent Anal, Ctr High Performance Comp, Shenzhen 518055, Guangdong, Peoples R China
[2] Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
[3] Shenzhen Univ, Sch Med, Dept Pathol, Shenzhen 518060, Guangdong, Peoples R China
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
CIRCULAR RNAS; IDENTIFICATION; TRANSLATION; BIOGENESIS; ABUNDANT; REVEALS; CANCER; EXPRESSION; BIOMARKER; EFFICIENT;
D O I
10.1155/2020/9084901
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Circular RNAs (circRNAs) are formed by joining the 3 ' and 5 ' ends of RNA molecules. Identification of circRNAs is an important part of circRNA research. The circRNA prediction methods can predict the circRNAs with start and end positions in the chromosome but cannot identify the full-length circRNA sequences. We present an R package FcircSEC (Full Length circRNA Sequence Extraction and Classification) to extract the full-length circRNA sequences based on gene annotation and the output of any circRNA prediction tools whose output has a chromosome, start and end positions, and a strand for each circRNA. To validate FcircSEC, we have used three databases, circbase, circRNAdb, and plantcircbase. With information such as the chromosome and strand of each circRNA as the input, the identified sequences by FcircSEC are consistent with the databases. The novelty of FcircSEC is that it can take the output of state-of-the-art circRNA prediction tools as input and is applicable for human and other species. We also classify the circRNAs as exonic, intronic, and others. The R package FcircSEC is freely available.
引用
收藏
页数:11
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