Comparative study of bioinformatic tools for the identification of chimeric RNAs from RNA Sequencing.

ABSTRACT: Chimeric RNAs are gaining more and more attention as they have broad implications in both cancer and normal physiology. To date, over 40 chimeric RNA prediction methods have been developed to facilitate their identification from RNA sequencing data. However, a limited number of studies have been conducted to compare the performance of these tools; additionally, previous studies have become outdated as more software tools have been developed within the last three years. In this study, we benchmarked 16 chimeric RNA prediction software, including seven top performers in previous benchmarking studies, and nine that were recently developed. We used two simulated and two real RNA-Seq datasets, compared the 16 tools for their sensitivity, positive prediction value (PPV), F-measure, and also docu

SUBMITTER: Singh S 

PROVIDER: S-EPMC8677020 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature