ArticleScientific data2025
Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Small variant calling in the era of long-read sequencing.Nature reviews. Genetics · 2026Review
- Pileup-hi: an ultra-high-throughput, customizable alignment pileup program for large datasets.Bioinformatics (Oxford, England) · 2026Article
- SVPG: a pangenome-based structural variant detection approach and rapid augmentation of pangenome graphs with new samples.Nature methods · 2026Article
- Long-read based detection of large copy number variants with potential functional significance using the ContextSV structural variant caller.NAR genomics and bioinformatics · 2026Article
- nf-core/pacsomatic: a scalable somatic analytic pipeline using PacBio HiFi data.Bioinformatics (Oxford, England) · 2026Article
- Pansoma, a machine learning tool for identifying somatic variants using pangenome graphs.bioRxiv : the preprint server for biology · 2026Article
- Personalized reference genome-based pipeline reveals comprehensive haplotype-resolved views of cancer genomes.bioRxiv : the preprint server for biology · 2026Article
- cyberDMR: accurate and robust identification of differentially methylated regions from WGS-derived methylomes.BMC biology · 2026Article
- A complete human pancreatic cancer genome.bioRxiv : the preprint server for biology · 2026Article
- SVScope improves somatic structural variations detection via graph-genome optimization.Genome biology · 2026Article
- Characterization of subclonal variants in HG002 Genome in a Bottle reference material as a resource for benchmarking variant callers.Cell genomics · 2026Article
- Severus detects somatic structural variation and complex rearrangements in cancer genomes using long-read sequencing.Nature biotechnology · 2026Article
- Benchmarking major somatic structural variant callers on the HG008 genome.Frontiers in genetics · 2026Article
- Expanding the Genome in a Bottle Truth Set: Detection and Validation of Novel Low-frequency Variants Using High-accuracy NanoSeq.bioRxiv : the preprint server for biology · 2025Article
- Diploid donor-specific assembly enhances somatic structural variant detection in cancer genomes.bioRxiv : the preprint server for biology · 2025Article
- Image-based DNA sequencing encoding for detecting low-mosaicism somatic mobile element insertions.Nature communications · 2025Article
- Comprehensive benchmarking of somatic structural variant detection at ultra-low allele fractions.bioRxiv : the preprint server for biology · 2025Article
- Flexible, production-scale, human whole genome sequencing on a benchtop sequencer.BMC genomics · 2025Article
- Unraveling the hidden complexity of cancer through long-read sequencing.Genome research · 2025Review
Corrections and comments
- Erratum issued
- Update of
Authors and funding
85 authors.
Funding
Abstract
The Genome in a Bottle Consortium (GIAB), hosted by the National Institute of Standards and Technology (NIST), is developing new matched tumor-normal samples, the first explicitly consented for public dissemination of genomic data and cell lines. Here, we describe a comprehensive genomic dataset from the first individual, HG008, including DNA from an adherent, epithelial-like pancreatic ductal adenocarcinoma (PDAC) tumor cell line and matched normal cells from duodenal and pancreatic tissues. Data for the tumor-normal matched samples comes from seventeen distinct state-of-the-art whole genome measurement technologies, including high depth short and long-read bulk whole genome sequencing (WGS), single cell WGS, Hi-C, and karyotyping. These data will be used by the GIAB Consortium to develop matched tumor-normal benchmarks for somatic variant detection. We expect these data to facilitate innovation for whole genome measurement technologies, de novo assembly of tumor and normal genomes, and bioinformatic tools to identify small and structural somatic variants. This first-of-its-kind broadly consented open-access resource will facilitate further understanding of sequencing methods used for cancer biology.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.