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. 2018 Apr 16;8:6005. doi: 10.1038/s41598-018-24298-y

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Performance comparison of DeepRed with separate samples method and GIREMI method. (A) Violin plot of the A-to-I ratios identified by DeepRed, separate samples method, and GIREMI method for each individual in the Geuvadis dataset. The first, second (median), and third quartiles are illustrated in box-plot style. (B) The relationship between the candidate SNVs and runtime of RNA editing sites identified with DeepRed (blue), separate samples method (red), and GIREMI method (green). The insert plot represents the relationship between the candidate SNVs and runtime of RNA editing identified with DeepRed. Runtime refers to the time spent identifying RNA editing sites from candidate SNVs. Error bar represents the standard error of runtime across ten down sampling samples.