April 2022
Beginner to intermediate
486 pages
10h 22m
Chinese
Content preview from 云端基因组学
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414
｜
第
13
章
些样本就会有多个不同标识符。你还可能遇到两个样本数据集来自不同生物样本或
用不同测定技术生成的情况，然而我们知道这里所用样本来自同一生物样本。这是
示例数据的人为因素造成的。该场景的下一步，我们将研究一些更贴近实际分析工
作的数据。
13.3.3
了解千人基因组高覆盖度数据集
前面讨论过，
Terra
平台的
Data Library
提供一系列数据集供研究者使用。这些数据
集由多家机构维护，放在多种数据仓库。这些数据的检索协议取决于仓库。本练习
我们从千人基因组项目数据仓库检索数据。该仓库存放该项目第三阶段
2504
个样本
的全基因组数据集，最近由纽约基因组研究中心（
New York Genome Center
）重测序。
该项工作属于
AnVIL
项目（
https://oreil.ly/Z2vfO
）的一部分。这个特殊仓库只有一
个仅含数据表的公开工作区，考虑到其规模，可以说这是一种简单却有效的数据仓
库形式。
现在我们访问千人基因组数据工作区。你可使用链接（
https://oreil.ly/195yq
），亦
可在
Data Library
浏览、查找。如用后一种方法，请注意
Terra
平台还有一个千人
基因组项目数据库，如图
13-10
所示，但它却不是我们想要的那个：该库包含全部
3500
名受试的低覆盖度序列数据，而我们想用的是该项目第三阶段的
2504
名受试
的高覆盖度序列数据这个新库。
进入工作区后，径直前往“
Data
”页，核实数据表。你将看到三个数据表，与我
们在
GATK
工作区所介绍的相同：
sample ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.