Nature CommunicationsGenomicsPeer-reviewed journal article
Framework For Quality Assessment Of Whole Genome, Cancer Sequences
Justin P. WhalleyiD, Ivo BuchhalteriD, Esther RheinbayiD, Keiran M. RaineiD, Kortine KleinheinziD, Miranda D. StobbeiD, Johannes WerneriD, Sergi BeltrániD, Marta GutiD, Daniel HübschmanniD, Barbara HutteriD, Dimitri G. LivitziD, Marc D. PerryiD, Mara W. RosenbergiD, Gordon SaksenaiD, Jean-Rémi TrottaiD, Roland EilsiD, Jan O. KorbeliD, Daniela Se Gerhard, Peter Campbell, Gad A. GetziD, Matthias SchlesneriD, Ivo Glynne GutiD
Abstract
Working with cancer whole genomes sequenced over a period of many years in different sequencing centres requires a validated framework to compare the quality of these sequences. The Pan-Cancer Analysis of Whole Genomes (PCAWG) of the International Cancer Genome Consortium (ICGC), a project a cohort of over 2800 donors provided us with the challenge of assessing the quality of the genome sequences. A non-redundant set of five quality control (QC) measurements were assembled and used to establish a star rating system. These QC measures reflect known differences in sequencing protocol and provide a guide to downstream analyses of these whole genome sequences. The resulting QC measures also allowed for exclusion samples of poor quality, providing researchers within PCAWG, and when the data is released for other researchers, a good idea of the sequencing quality. For a researcher wishing to apply the QC measures for their data we provide a Docker Container of the software used to calculate them. We believe that this is an effective framework of quality measures for whole genome, cancer sequences, which will be a useful addition to analytical pipelines, as it has to the PCAWG project.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 20
- FWCI
- 0.43
- Field percentile
- 49th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- QuaC: A Pipeline Implementing Quality Control Best Practices for Genome Sequencing and Exome Sequencing Data
Manavalan Gajapathy, Brandon M. Wilk, Elizabeth A. Worthey·The Journal of Open Source SoftwarePeer-reviewed·Oct 23, 2023
- Exploring per-base quality scores as a surrogate marker of cell-free DNA fragmentome
Hadas Volkov, Maria Raitses‐Gurevich, … Noam Shomron·bioRxiv·May 5, 2026
- A comprehensive multicenter comparison of whole genome sequencing pipelines using a uniform tumor-normal sample pair
Ivo Buchhalter, Barbara Hutter, … on behalf of the ICGC Verification and Validation Working Group·bioRxiv·Jun 12, 2015
- Large-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing Environments
Christina K. Yung, Brian D. O’Connor, … Charles L. Short·bioRxiv·Jul 10, 2017
- A user's guide to the online resources for data exploration, visualization, and discovery for the Pan-Cancer Analysis of Whole Genomes project (PCAWG)
Mary J. Goldman, Junjun Zhang, … Miguél Vázquez·Nature CommunicationsPeer-reviewed·Jul 7, 2020
- nf-core/genomeqc: a best-practice pipeline for comparing genome and assembly quality
Christopher D. R. Wyatt, Fernando Duarte Frutos, … Seirian Sumner·bioRxiv·Aug 20, 2026