Abstract
Many chimeric RNA prediction software packages are available to assist the scientific community in searching for cancer-specific chimeric RNAs. These packages predict a large number of false positive events, which significantly hampers experimental validation of predicted chimeric RNAs. Here, we describe the detailed steps for (1) prediction of chimeric RNAs using EricScript software, (2) characterization of chimeric RNAs to discard most probable false positive events, and (3) in silico validation of chimeric RNA to select the potential cancer-specific events.
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Singh, S., Li, H. (2020). Prediction, Characterization, and In Silico Validation of Chimeric RNAs. In: Li, H., Elfman, J. (eds) Chimeric RNA. Methods in Molecular Biology, vol 2079. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9904-0_1
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DOI: https://doi.org/10.1007/978-1-4939-9904-0_1
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