April 2022
Beginner to intermediate
486 pages
10h 22m
Chinese
Content preview from 云端基因组学
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14
｜
第
1
章
DNA测序增长情况
有记录可查的增长情况
每7个月翻番（历史增长率）
每12个月翻番（据Illumina公司预测）
每18个月翻番（摩尔定律）
所生成数据（拍碱基对） 基因组数量 外显子组数量
人类基因组累计数量
全球每年测序能力
首张个人基因组图谱
Levy等
首张完整的个人基因组
图谱（454测序）
Wheeler等
千人基因组
TCGA数据库
ExAC数据库
当前测序能力
年份
PacBio单分子实时测序
Chaisson等
首张非洲男性全基因
组图谱（Illumina公司）
Bentley等
Wang等
Ley等
首张人类基因组工作草图
（Sanger法测序）
国际人类基因组测序
联盟（IHGSC）等
Venter等
图
1
-
1
：
2000
年～
2015
年，有记录可查的测序数据集增长情况和后十年的预计增长情况
（上）；博德研究所数据生产的增长情况（下）
注
1
1.1
生物学和生命科学大数据的希望和挑战
个人实验室或大型机构的研究者，很快便能生成海量数据。写作本书时，项目只要
包含几十万基因组的全基因组序列就被视为大项目。而下个十年，我们有望看到规
模更大的项目，例如为数以百万计基因组和转录物组测序，加之新增高级细胞成像
注
1
：
Stephens ZD
等，“
Big Data: Astronomical or Genomical?
”
PLoS Biol 13(7): e1002195
(2015).
https://doi.org/10.1371/journal.pbio.1002195
。
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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.