期刊
BRIEFINGS IN BIOINFORMATICS
卷 14, 期 4, 页码 506-519出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbs044
关键词
gene fusion; next generation sequencing; cancer; whole genome sequencing; transcriptome sequencing; computational tools
资金
- Stand Up To Cancer-American Association for Cancer Research Innovative Research Grant [SU2C-AACR-IRG0109]
- National Institutes of Health Grants [P30CA68485, R01LM011177]
Gene fusions are important genomic events in human cancer because their fusion gene products can drive the development of cancer and thus are potential prognostic tools or therapeutic targets in anti-cancer treatment. Major advancements have been made in computational approaches for fusion gene discovery over the past 3 years due to improvements and widespread applications of high-throughput next generation sequencing (NGS) technologies. To identify fusions from NGS data, existing methods typically leverage the strengths of both sequencing technologies and computational strategies. In this article, we review the NGS and computational features of existing methods for fusion gene detection and suggest directions for future development.
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