癌症基因组学：在寻找驱动突变方面，少即是多。 - Suppr

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超能文献

Cancer genomics: Less is more in the hunt for driver mutations.

作者信息

Kumar Sushant, Gerstein Mark

机构信息

Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA.

Department of Computer Science, Yale University.

出版信息

Nature. 2017 Jul 6;547(7661):40-41. doi: 10.1038/nature23085. Epub 2017 Jun 28.

DOI:10.1038/nature23085

PMID:28658210

Abstract

摘要

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Nat Genet. 2017 Jan;49(1):65-74. doi: 10.1038/ng.3722. Epub 2016 Nov 21.

Role of non-coding sequence variants in cancer.非编码序列变异在癌症中的作用。

Nat Rev Genet. 2016 Feb;17(2):93-108. doi: 10.1038/nrg.2015.17. Epub 2016 Jan 19.

LARVA: an integrative framework for large-scale analysis of recurrent variants in noncoding annotations.LARVA：非编码注释中复发性变异大规模分析的综合框架。

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Genome-wide analysis of noncoding regulatory mutations in cancer.癌症中非编码调控突变的全基因组分析。

Nat Genet. 2014 Nov;46(11):1160-5. doi: 10.1038/ng.3101. Epub 2014 Sep 28.

Integrative annotation of variants from 1092 humans: application to cancer genomics.综合注释来自 1092 个人类的变异：在癌症基因组学中的应用。

Science. 2013 Oct 4;342(6154):1235587. doi: 10.1126/science.1235587.

Comprehensive identification of mutational cancer driver genes across 12 tumor types.综合鉴定 12 种肿瘤类型中的突变致癌驱动基因。

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Nat Genet. 2013 Oct;45(10):1113-20. doi: 10.1038/ng.2764.

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