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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
撰写可完全复现的论文
457
A. 样本量为100的分析结果 B. 样本量为500的分析结果
14
-
10
:聚类测试结果排序:A)含
100
个受试的集合和 B)含
500
个受试的集合
我们特别振奋的是该方法能够测试统计力量在数据集规模方面的可扩展性。我们很
容易想到设置额外实验,以更细的粒度和更大规模测试其可扩展性。我们还想测试
NOTCH1 case
在总群体中占比的变化如何影响结果。对于该问题,我们可从原研究
的实际观测比例入手。
我们可做的事很多,但时间有限。说到这,时候已不早;我们几乎到了本书的最后。
14.4
通往
FAIR
的道路漫长又曲折
讲完上面,你现在应该能够在
Terra
平台复现法洛四联症分析过程。若数据和(或)
方法适合你自己的工作,你也知道该怎么复用了。该分析的大部分,应该还可以在
Terra
之外的平台完成,因为大部分组件在其他平台也可以直接用。你可以下载数据,
在不同平台使用它们。
Docker
镜像和
WDL
工作流几乎可以在任何平台运行。而笔
记本复用可能要费点功夫,因为其运行环境不同于工作流的运行环境。工作流的运
行环境,
Docker
镜像可干净利索地将其打包。关于计算环境,你可以访问所有必要
信息,但是你仍需要独立搭建一个对等的环境。我们希望这一点后续能进一步提升;
例如,备选方案是发布
Dockerfile
,你可以用其重建一个特定笔记本的软件环境。
我们还希望有一种标准方式,能获取
Terra
工作区的数字对象标识符(
digital object
identifier
DOI
),以便在出版物中使用时,放上配套工作区和补充材料 ...
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Publisher Resources

ISBN: 9787519864422