MultiEditR: the first tool for the detection and quantification of RNA editing from Sanger sequencing demonstrates comparable fidelity to RNA-seq
We present MultiEditR (Multiple Edit Deconvolution by Inference of Traces in R), 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 Sanger seque...
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| Main Authors: | , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
21 July 2021
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| In: |
Molecular therapy. Nucleic Acids
Year: 2021, Volume: 25, Pages: 515-523 |
| ISSN: | 2162-2531 |
| DOI: | 10.1016/j.omtn.2021.07.008 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.omtn.2021.07.008 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S2162253121001761 
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| Author Notes: | Mitchell G. Kluesner, Rafail Nikolaos Tasakis, Taga Lerner, Annette Arnold, Sandra Wüst, Marco Binder, Beau R. Webber, Branden S. Moriarity, and Riccardo Pecori |
| Summary: | We present MultiEditR (Multiple Edit Deconvolution by Inference of Traces in R), 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 Sanger sequencing traces, the accuracy and precision of this approach has yet to be evaluated against gold standard next-generation sequencing methods. Through a comprehensive comparison to RNA sequencing (RNA-seq) and amplicon-based deep sequencing, we show that MultiEditR is accurate, precise, and reliable for detecting endogenous and programmable RNA editing. |
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| Item Description: | Gesehen am 10.11.2021 |
| Physical Description: | Online Resource |
| ISSN: | 2162-2531 |
| DOI: | 10.1016/j.omtn.2021.07.008 |