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云端基因组学
book

云端基因组学

by Geraldine A. Van der Auwera, Brian D. O’Connor
April 2022
Beginner to intermediate
486 pages
10h 22m
Chinese
China Electric Power Press Ltd.
Content preview from 云端基因组学
198
7
不过一些混淆因素搅乱这种美好想法。例如,用福尔马林固定石蜡包埋(
formalin-
fixed paraffin-embedded
FFPE
)的活检样本,在样本准备过程易受生化变化影响,
以至于针对特定肿瘤样本,产生假正变异识别结果模式。顺便一提,
FFPE
是实验
室处理样本的常用技术。反之,正常组织的肿瘤细胞(由于采样污染或癌细胞扩散)
可能导致工具将真体细胞变异误识别为个体种系变异一部分。最后如前面所讨论的,
各种技术错误和污染,对所有高通量测序技术都会造成一定影响的,对体细胞变异
识别也有较大影响。因此,我们需采用一些健壮的处理和过滤技术来解决这些难题
(完整工作流见图
7-3
)。
下一小节,我们将深入肿瘤—正常组织配对分析工作流细节。在此之前,你需要注
意有时我们无法应用完整的肿瘤—正常组织配对分析工作流来处理单个样本或一组
样本,这通常是因为我们拿不到与肿瘤配对的正常组织。如缺少数据是因为研究员
无法从受试者或病人采集配对组织,那么挫败感尤为强烈。因此确保在研究员采集
数据之前,详细规划好整个分析过程尤为重要。另外,有时出于生物学上的原因,
我们无法取得配对组织,例如血液性癌症通常会触及身体每处组织,我们无法假定
任何组织样本都是正常组织。
不管出于什么原因而缺少配对正常组织,下一小节要讲的工作流都可以在只有少
数微小改动的肿瘤样本上运行,其详细内容请见
GATK
在线文档(
https://oreil.ly/
ZgIrB
)。然而,你应该清楚分析结果可能含较多噪音,因为你将依靠种系群体资源
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Publisher Resources

ISBN: 9787519864422