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SMaHT HapMap Mixture Benchmark Set

This directory contains highly accurate somatic benchmarking single nucleotide variants (SNVs), small indels (indels), structural variations (SVs), mobile element insertions (MEIs) and mitochondrial variants(mito) for the HapMap cell line mixture. The HapMap mixture consists of 83.5% of HG005 (Ch

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CreatorKong, Nahyun
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Published2026-04-17
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DOI10.5281/zenodo.19636324
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Downloads169
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Licensecc-by-4.0
File Size1.5 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views401
Total Downloads169

This directory contains highly accurate somatic benchmarking single nucleotide variants (SNVs), small indels (indels), structural variations (SVs), mobile element insertions (MEIs) and mitochondrial variants(mito) for the HapMap cell line mixture. The HapMap mixture consists of 83.5% of HG005 (Chinese male), 10% of HG02622 (European/Ashkenazi Jewish male), 2% of HG002 (African female), 2% of HG02257 (African male), 2% of HG02486 (East Asian female), and 0.5% HG00438 (Chinese male). The vcf.gz and bed files are intended to be used together to benchmark the performance of somatic variant callers. The benchmarking region is defined as the intersection of reliable regions across the 12 haploid assemblies from the 6 HapMap samples, encompassing 83.9% of GRCh38 and 84.0% of CHM13, respectively. Each benchmark set was produced from a minigraph-cactus graph constructed using: 1) The selected reference assembly (GRCh38, T2T-CHM13, HG005 maternal/paternal assemblies, or a personalized HapMap mixture assembly) and 2) Twelve haploid assemblies from the six HapMap samples. The following paper(s) can be cited for use of the benchmark variant set: Kong, Nahyun, et al. “A Pangenomic Method for Establishing a Somatic Variant Detection Resource in HapMap Mixtures.” bioRxiv (2025): 2025-09. 

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SMaHT HapMap Mixture Benchmark Set (Full Dataset)1.5 GB
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Files are hosted on the source repository. Click download to access the full dataset.

Kong, Nahyun (2026). SMaHT HapMap Mixture Benchmark Set. https://doi.org/10.5281/zenodo.19636324