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CLIFinder: identification of LINE-1 chimeric transcripts in RNA-seq data
Author(s) -
Marie-Elisa Pinson,
Romain Pogorelcnik,
Franck Court,
Philippe Arnaúd,
Catherine VaursBarrière
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx671
Subject(s) - computational biology , rna seq , genome , source code , computer science , transcriptome , biology , genetics , gene , gene expression , programming language
L1 Chimeric Transcripts (LCTs) are initiated by repeated LINE-1 element antisense promoters and include the L1 5'UTR sequence in antisense orientation followed by the adjacent genomic region. LCTs have been characterized mainly using bioinformatics approaches to query dbEST. To take advantage of NGS data to unravel the transcriptome composition, we developed Chimeric LIne Finder (CLIFinder), a new bioinformatics tool. Using stranded paired-end RNA-seq data, we demonstrated that CLIFinder can identify genome-wide transcribed chimera sequences corresponding to potential LCTs. Moreover, CLIFinder can be adapted to study transcription from other repeat types.

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