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. 2021 Feb 12;11:3778. doi: 10.1038/s41598-021-82848-3

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© The Author(s) 2021

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 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/.

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Expression profiles of transcripts in pine seedlings after wounding of the stem, grouped by the Bayesian hierarchical clustering algorithm SplineCluster⁴⁰. All 17,584 Pinus EST transcripts that achieved at least eight CPM in at least four libraries are shown. The statistically differentially expressed transcripts (FDR < 0.05) at 3 h, 24 h or 96 h after wounding, compared to the control, are shown in red. The area of the disk shown for each cluster is proportional to the number of TCs in the cluster. 0H, control; 3H, 3 h; 1D, 24 h; 4D, 96 h.