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Next generation sequencing in cancer research and clinical application

Derek Shyr1 and Qi Liu23*

Author Affiliations

1 Washington University, 63130, St. Louis, MO, USA

2 Center for Quantitative Sciences, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA

3 Department of Biomedical Informatics, Vanderbilt University School of Medicine, 37232, Nashville, TN, USA

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Biological Procedures Online 2013, 15:4  doi:10.1186/1480-9222-15-4

Published: 13 February 2013


The wide application of next-generation sequencing (NGS), mainly through whole genome, exome and transcriptome sequencing, provides a high-resolution and global view of the cancer genome. Coupled with powerful bioinformatics tools, NGS promises to revolutionize cancer research, diagnosis and therapy. In this paper, we review the recent advances in NGS-based cancer genomic research as well as clinical application, summarize the current integrative oncogenomic projects, resources and computational algorithms, and discuss the challenge and future directions in the research and clinical application of cancer genomic sequencing.

Next generation sequencing; Cancer research; Clinical application