Logo image
Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study
Journal article   Open access   Peer reviewed

Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study

Y. Zhao, L.T. Fang, T-W Shen, S. Choudhari, K. Talsania, X. Chen, J. Shetty, Y. Kriga, B. Tran, B. Zhu, …
Scientific Data, Vol.8(1), Art. 296
2021
pdf
whole gnome.pdfDownloadView
Published (Version of Record) Open Access
url
Free to Read *No subscription requiredView

Abstract

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.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

154 File views/ downloads
73 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.189 Genome Studies
1.189.310 Population Genetics
Web Of Science research areas
Biotechnology & Applied Microbiology
ESI research areas
Biology & Biochemistry
Logo image