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. 2018 Nov 16;8:16953. doi: 10.1038/s41598-018-35001-6

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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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(A) Hierarchical clustering different RNA samples, based on raw read counts obtained from the AmpliSeq circRNA panel. Data from all targets (circular, linear and negative control) was used for the clustering analysis. (B) Read counts for the circular and linear isoforms of the genes SETD3 and RAB6A in the SHSY-5Y cell line, blood and several tissue samples.