ArticleNature biotechnology2021
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing.
Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
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Who cites it
85 citing papers in PubMed, 140 citations in OpenAlex.
- SVPG: a pangenome-based structural variant detection approach and rapid augmentation of pangenome graphs with new samples.Nature methods · 2026Article
- Improving somatic variant calling with long-read technologies and public datasets.Nature biotechnology · 2026Article
- Accurate somatic small variant discovery for multiple sequencing technologies with DeepSomatic.Nature biotechnology · 2026Article
- Somatic likelihood tiering: an interpretable post-calling triage protocol for tumor-only whole-exome variant review.Briefings in bioinformatics · 2026Article
- nf-core/pacsomatic: a scalable somatic analytic pipeline using PacBio HiFi data.Bioinformatics (Oxford, England) · 2026Article
- ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.Nature methods · 2026Article
- AI-driven neoantigen identification: a comprehensive review from somatic variant calling to T cell recognition.Journal of translational medicine · 2026Review
- VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental data.Genome medicine · 2026Article
- Benchmarking Q40 sequencing for sensitive and efficient detection of rare genomic variants.Genome biology · 2026Article
- Lancet2: Improved and accelerated somatic variant calling with joint multi-sample local assembly graphs.NAR genomics and bioinformatics · 2026Article
- A recurrent sequencing artifact on Illumina sequencers with two-color fluorescent dye chemistry and its impact on somatic variant detection.Genome biology · 2026Article
- Improved tumor-only variant calling and mutation burden estimation with VarNet-T.Nature communications · 2026Article
- Characterization of subclonal variants in HG002 Genome in a Bottle reference material as a resource for benchmarking variant callers.Cell genomics · 2026Article
- Benchmarking of sequencing technologies defines optimal strategies for genetic variants detection in a human genome.Genome biology · 2026Article
- Confounding factors in assessing the enriched expression of somatic mutant alleles in bulk tumor samples.Genome research · 2026Article
- Severus detects somatic structural variation and complex rearrangements in cancer genomes using long-read sequencing.Nature biotechnology · 2026Article
- Epigenomic, transcriptomic, and proteomic characterization of breast cancer cell line reference samples.Cell reports methods · 2026Article
- GATES: A Lightweight Tool Automating Pathogenic Variant Discovery From Raw Whole-Exome Sequencing Data.Cancer informatics · 2026Article
- Comprehensive benchmarking of methods for mutation calling in circulating tumor DNA.Nature communications · 2025Article
- The Impact of Variant Calling on Substitution Mutational Signature Inference.bioRxiv : the preprint server for biology · 2025Article
25 more citing papers are in PubMed but not listed here.
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Authors and funding
80 authors at 20 institutions in 10 countries.
Funding
Abstract
The lack of samples for generating standardized DNA datasets for setting up a sequencing pipeline or benchmarking the performance of different algorithms limits the implementation and uptake of cancer genomics. Here, we describe reference call sets obtained from paired tumor-normal genomic DNA (gDNA) samples derived from a breast cancer cell line-which is highly heterogeneous, with an aneuploid genome, and enriched in somatic alterations-and a matched lymphoblastoid cell line. We partially validated both somatic mutations and germline variants in these call sets via whole-exome sequencing (WES) with different sequencing platforms and targeted sequencing with >2,000-fold coverage, spanning 82% of genomic regions with high confidence. Although the gDNA reference samples are not representative of primary cancer cells from a clinical sample, when setting up a sequencing pipeline, they not only minimize potential biases from technologies, assays and informatics but also provide a unique resource for benchmarking 'tumor-only' or 'matched tumor-normal' analyses.
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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.