This is a preprint.
RTCpredictor: Identification of Read-Through Chimeric RNAs from RNA Sequencing Data
- PMID: 36778443
- PMCID: PMC9915620
- DOI: 10.1101/2023.02.02.526869
RTCpredictor: Identification of Read-Through Chimeric RNAs from RNA Sequencing Data
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RTCpredictor: identification of read-through chimeric RNAs from RNA sequencing data.Brief Bioinform. 2024 May 23;25(4):bbae251. doi: 10.1093/bib/bbae251. Brief Bioinform. 2024. PMID: 38796690 Free PMC article.
Abstract
Read-through chimeric RNAs are gaining attention in cancer and other research fields, yet current tools often fail in predicting them. We have thus developed the first read-through chimeric RNA specific prediction method, RTCpredictor, utilizing a fast ripgrep algorithm to search for all possible exon-exon combinations of parental gene pairs. Compared with other ten popular tools, RTCpredictor achieved top performance on both simulated and real datasets. We randomly selected up to 30 candidate read-through chimeras predicted from each software method and experimentally validated a total of 109 read-throughs and on this set, RTCpredictor outperformed all the other methods. In addition, RTCpredictor ( https://github.com/sandybioteck/RTCpredictor ) has less memory requirements and faster execution time.
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