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. 2020 May 18;21:119. doi: 10.1186/s13059-020-02028-w

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 6 — Differential polyadenylation analysis (DPA) results. a Heatmap displaying distal polyA usage (DPAU) levels of genes that are most significantly DPA (FDR < 0.001, threshold stringency increased for visualization purposes) for each cell type. b Violin plots showing the distribution of the difference in expression-weighted 3′ and 5′ UTR lengths (UTRw) between OPCs and NPCs. c Frequency of differential inclusion of features from several annotation categories for DPA (FDR > 0.05) genes. Bar color indicates the transcript region where the feature is present. d Functional enrichment of DPA genes for GO terms (Fisher’s exact test, multiple testing correction by Benjamini-Hochberg method, FDR < 0.05). Dot color indicates the GO term aspect, while dot size indicates significance level