MultiEditR: The first tool for detection and quantification of multiple RNA editing sites from Sanger sequencing demonstrates comparable fidelity to RNA-seq

We present MultiEditR, the first algorithm specifically designed to detect and quantify RNA editing from Sanger sequencing (z.umn.edu/multieditr). Although RNA editing is routinely evaluated by measuring the heights of peaks from in Sanger sequencing traces, the accuracy and the precision of this approach has yet to be evaluated against gold-standards next-generation sequencing methods. Through a comprehensive comparison to RNA-seq and amplicon based deep sequencing, we show that MultiEditR is accurate, precise, and reliable for detecting endogenous and programmable RNA editing. Overall design: MultiEditR reliably detects RNA editing from Sanger Sequencing data, as compared to NGS RNA-seq data from RAW 264.7 (WT, 3 replicates vs APOEBC1-KO, 3 replicates) mouse macrophages.