Nature Communications (Oct 2020)
Framework for quality assessment of whole genome cancer sequences
- Justin P. Whalley,
- Ivo Buchhalter,
- Esther Rheinbay,
- Keiran M. Raine,
- Miranda D. Stobbe,
- Kortine Kleinheinz,
- Johannes Werner,
- Sergi Beltran,
- Marta Gut,
- Daniel Hübschmann,
- Barbara Hutter,
- Dimitri Livitz,
- Marc D. Perry,
- Mara Rosenberg,
- Gordon Saksena,
- Jean-Rémi Trotta,
- Roland Eils,
- Daniela S. Gerhard,
- Peter J. Campbell,
- Matthias Schlesner,
- Ivo G. Gut
Affiliations
- Justin P. Whalley
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST)
- Ivo Buchhalter
- Division of Theoretical Bioinformatics (B080), German Cancer Research Centre (DKFZ)
- Esther Rheinbay
- Broad Institute of Harvard and MIT
- Keiran M. Raine
- Wellcome Sanger Institute
- Miranda D. Stobbe
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST)
- Kortine Kleinheinz
- Division of Theoretical Bioinformatics (B080), German Cancer Research Centre (DKFZ)
- Johannes Werner
- Division of Theoretical Bioinformatics (B080), German Cancer Research Centre (DKFZ)
- Sergi Beltran
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST)
- Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST)
- Daniel Hübschmann
- Division of Theoretical Bioinformatics (B080), German Cancer Research Centre (DKFZ)
- Barbara Hutter
- Division of Applied Bioinformatics (G200), Cancer Research Centre (DKFZ)
- Dimitri Livitz
- Broad Institute of Harvard and MIT
- Marc D. Perry
- Department of Radiation Oncology, University of California
- Mara Rosenberg
- Broad Institute of Harvard and MIT
- Gordon Saksena
- Broad Institute of Harvard and MIT
- Jean-Rémi Trotta
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST)
- Roland Eils
- Center for Digital Health, Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin
- Daniela S. Gerhard
- Office of Cancer Genomics, National Cancer Institute, US National Institutes of Health
- Peter J. Campbell
- Wellcome Sanger Institute
- Matthias Schlesner
- Division of Theoretical Bioinformatics (B080), German Cancer Research Centre (DKFZ)
- Ivo G. Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST)
- DOI
- https://doi.org/10.1038/s41467-020-18688-y
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 8
Abstract
Working with cancer genomes from multiple projects can increase investigative power, but quality of sequences can vary. Here, the authors present a framework for comparing whole genome sequencing quality to help researchers guide downstream analyses and exclude poor quality samples.
