Titlebook: Chimeric RNA; Methods and Protocol Hui Li,Justin Elfman Book 2020 Springer Science+Business Media, LLC, part of Springer Nature 2020 Gene f

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Prediction, Characterization, and In Silico Validation of Chimeric RNAspackages 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

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Identification of Fusion Transcripts from Unaligned RNA-Seq Reads Using ChimeRScopearkers. Several algorithms have been developed to predict fusion transcripts from DNA or RNA data. The majority of these algorithms align sequencing reads to the reference transcriptome for predicting fusions; however, this results in several undetected fusions due to the highly perturbed nature of

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Detection and Measurement of Chimeric RNAs by RT-PCRscripts. RT-PCR consists of RNA isolation and reverse transcription into complementary DNA (cDNA), which can then be used as input to a variety of PCR-based procedures such as standard PCR, real-time or quantitative PCR (qPCR or qRT-PCR), or TaqMan PCR procedures. These assays are useful in detectio

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Validation of Chimeric Fusion Peptides Using Proteomics Data algorithms have been developed to identify chimeric RNAs, however, identification and validation of fused protein product of the chimeric RNA is still an emerging field. These chimeric proteins can be validated by searching and identifying them in publicly available proteomics datasets. Here we des