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. 2021 Feb 3;590(7845):300–307. doi: 10.1038/s41586-020-03145-z

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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 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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Extended Data Fig. 2 — a, Hierarchically clustered genome-wide correlation across samples in all 13 imputed Tier 1 and 2 assays. Observed (top) vs. imputed (bottom) matrices shown. Clustering conducted on the fused matrix (left panel, constructed as in main figure). Observed data availability matrix (grey is available, white is unavailable) is shown for the top nine marks and accessibility assays by number of observed datasets. b, Two-dimensional embeddings of Tier 1 and 2 marks coloured by tissue group, using Spearman correlation within matched chromatin states. Arrows point from the centre of mass of all biosamples to that of the specified group. c, Hierarchical clustering of 833 biosamples based on enhancer activity distances (Supplementary Fig. 12). Subtrees enriched for specific sample types are highlighted and labelled (colours). Samples are labelled by metadata in the outer ring (Supplementary Table 1).