生物
DNA测序
基因组
计算生物学
癌症基因组测序
全基因组测序
基因组测序
基因组学
个人基因组学
遗传学
基因
作者
Ying‐Chen Claire Hou,Julie Neidich,Eric J. Duncavage,David H. Spencer,Molly C. Schroeder
出处
期刊:Human Mutation
[Wiley]
日期:2022-04-26
卷期号:43 (11): 1519-1530
被引量:14
摘要
Characterizing the genomic landscape of cancers is a routine part of clinical care that began with the discovery of the Philadelphia chromosome and has since coevolved with genomic technologies. Genomic analysis of tumors at the nucleotide level using DNA sequencing has revolutionized the understanding of cancer biology and identified new molecular drivers of disease that have led to therapeutic advances and improved patient outcomes. However, the application of next-generation sequencing in the clinical laboratory has generally been limited until very recently to targeted analysis of selected genes. Recent technological innovations and reductions in sequencing costs are now able to deliver the long-promised goal of tumor whole-genome sequencing as a practical clinical assay.
科研通智能强力驱动
Strongly Powered by AbleSci AI