Published March 25, 2026 | Version v2
Dataset Open

Control panel for nanomonsv from HPRC and 1000 Genomes Project

Authors/Creators

  • 1. ROR icon National Cancer Centre Japan
  • 2. National Cancer Center Research Institute

Description

This is control panel for nanomonsv software (Shiraishi et al., Nucleic Acids Research, 2023), which is expected to exclude many false positives as well as improve computational cost.
 
HPRC panels: Made by aligning 36 Nanopore or 44 PacBio HiFi sequencing data from Human Pangenome Reference Consortium (HPRC) release 1 (Liao et al., Nature, 2023) to the GRCh38 or CHM13 reference genomes with minimap2 version 2.24.
 
1000G ONT Vienna panels (new in v2): Made by parsing 1,019 CRAM files from the 1000 Genomes ONT Vienna dataset (Schloissnig et al., Nature, 2025) aligned to GRCh38 or CHM13 (T2T) reference genomes.
 
When you use these control panels and publish, please cite:
  • Shiraishi et al., Nucleic Acids Research, 2023 (doi:10.1093/nar/gkad526)
  • Liao et al., Nature, 2023 (doi:10.1038/s41586-023-05896-x)
  • Schloissnig et al., Nature, 2025 (doi:10.1038/s41586-025-09290-7)

Files

Files (42.4 GB)

Name Size
md5:e960e7f590ce1f6505ccdd564aaedf82
16.9 GB Download
md5:e2af7082bf6a252e73e5e98c46192cce
15.0 GB Download
md5:8231a7afccece335bc92564f71fc92bb
2.2 GB Download
md5:faf9b97f1e3f1ba309d34cfb19d91ec1
1.9 GB Download
md5:dac0394692f072bb6f59a233a91c11d9
2.7 GB Download
md5:2b7d3ea3b524bc9e1824d449784e4f72
2.1 GB Download
md5:47ce50f30c872f10ce1be656b857fd06
870.4 MB Download
md5:9ed93d5414e1cea83ee8594c60631207
628.4 MB Download

Additional details

Related works

Is supplemented by
Journal article: 10.1093/nar/gkad526 (DOI)
Journal article: 10.1038/s41586-023-05896-x (DOI)
Journal article: 10.1038/s41586-025-09290-7 (DOI)

References

  • Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv, Shiraishi et al., Nucleic Acids Research, 2023.
  • A draft human pangenome reference, Liao et al., Nature, 2023.
  • Long-read sequencing of 1,019 samples from the 1000 Genomes Project, Schloissnig et al., Nature, 2025.