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Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study
Y. Zhao, LT. Fang, TW. Shen, S. Choudhari, K. Talsania, X. Chen, J. Shetty, Y. Kriga, B. Tran, B. Zhu, Z. Chen, W. Chen, C. Wang, E. Jaeger, D. Meerzaman, C. Lu, K. Idler, L. Ren, Y. Zheng, L. Shi, V. Petitjean, M. Sultan, T. Hung, E. Peters, J....
Jazyk angličtina Země Velká Británie
Typ dokumentu dataset, časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
Project No. 2014-2020.4.01.15-0012
EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj)
HHSN261201500003C
NCI NIH HHS - United States
2017-00630, 2019-01976
Vetenskapsrådet (Swedish Research Council)
S10 OD019960
NIH HHS - United States
HHSN261201500003I
NCI NIH HHS - United States
HHSN261201800001C
NCI NIH HHS - United States
NLK
Directory of Open Access Journals
od 2014
Free Medical Journals
od 2014
Nature Open Access
od 2014-12-01
PubMed Central
od 2014
Europe PubMed Central
od 2014
ProQuest Central
od 2014-03-01
Open Access Digital Library
od 2014-01-01
Open Access Digital Library
od 2014-01-01
Health & Medicine (ProQuest)
od 2014-03-01
ROAD: Directory of Open Access Scholarly Resources
od 2014
Springer Nature OA/Free Journals
od 2014-12-01
- MeSH
- benchmarking MeSH
- genom lidský * MeSH
- genomika MeSH
- individualizovaná medicína MeSH
- lidé MeSH
- nádorové buněčné linie MeSH
- nádory genetika MeSH
- sekvenování celého genomu * MeSH
- sekvenování exomu * MeSH
- výpočetní biologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- dataset MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
With the rapid advancement of sequencing technologies, next generation sequencing (NGS) analysis has been widely applied in cancer genomics research. More recently, NGS has been adopted in clinical oncology to advance personalized medicine. Clinical applications of precision oncology require accurate tests that can distinguish tumor-specific mutations from artifacts introduced during NGS processes or data analysis. Therefore, there is an urgent need to develop best practices in cancer mutation detection using NGS and the need for standard reference data sets for systematically measuring accuracy and reproducibility across platforms and methods. Within the SEQC2 consortium context, we established paired tumor-normal reference samples and generated whole-genome (WGS) and whole-exome sequencing (WES) data using sixteen library protocols, seven sequencing platforms at six different centers. We systematically interrogated somatic mutations in the reference samples to identify factors affecting detection reproducibility and accuracy in cancer genomes. These large cross-platform/site WGS and WES datasets using well-characterized reference samples will represent a powerful resource for benchmarking NGS technologies, bioinformatics pipelines, and for the cancer genomics studies.
AbbVie Genomics Research Center North Chicago IL USA
Bioinformatics Research and Early Development Roche Sequencing Solutions Inc Belmont CA USA
Biomarker Development Novartis Institutes for Biomedical Research Basel Switzerland
Center for Genomics School of Medicine Loma Linda University Loma Linda CA USA
Centre for Molecular Medicine and Innovative Therapeutics Murdoch University Murdoch Australia
Core Applications Group Product Development Illumina Inc Foster City CA USA
Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA
Estonian Genome Centre Institute of Genomics University of Tartu Tartu Estonia
IMTM Faculty of Medicine and Dentistry Palacky University Olomouc Czech Republic
Institute for Molecular Medicine Finland University of Helsinki Helsinki Finland
Member of EATRIS ERIC European Infrastructure for Translational Medicine Amsterdam The Netherlands
National Center for Toxicological Research U S Food and Drug Administration FDA Jefferson AR USA
Perron Institute for Neurological and Translational Science Nedlands Australia
Citace poskytuje Crossref.org
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