Automated sequence-based annotation and interpretation of the human genome

被引：0
|
作者：
Anshul Kundaje
Wouter Meuleman
机构：
[1] Stanford University,Department of Genetics
[2] Stanford University,Department of Computer Science
[3] Altius Institute for Biomedical Sciences,Paul G. Allen School of Computer Science & Engineering
[4] University of Washington,undefined
来源：
Nature Genetics | 2022年 / 54卷
关键词：
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学科分类号：
摘要：
A machine-learning model produces summarized sequence representations of genomic regulatory activity, and provides a functional view of regulatory DNA variation in the human genome, with the aim of better understanding the role of sequence variation in health and disease.
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页码：916 / 917
页数：1
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