Deciphering ENCODE

被引：23

作者：

Diehl, Adam G. ^{[1
]}

Boyle, Alan P. ^{[1
,2
]}

机构：

[1] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Dept Human Genet, Ann Arbor, MI 48109 USA

来源：

TRENDS IN GENETICS | 2016年 / 32卷 / 04期

关键词：

DIFFERENTIAL EXPRESSION ANALYSIS; HUMAN GENOME; JUNK DNA; NORMALIZATION; ANNOTATION; PROJECT; PACKAGE; BIAS; SETS;

D O I：

10.1016/j.tig.2016.02.002

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The ENCODE project represents a major leap from merely describing and comparing genomic sequences to surveying them for direct indicators of function. The astounding quantity of data produced by the ENCODE consortium can serve as a map to locate specific landmarks, guide hypothesis generation, and lead us to principles and mechanisms underlying genome biology. Despite its broad appeal, the size and complexity of the repository can be intimidating to prospective users. We present here some background about the ENCODE data, survey the resources available for accessing them, and describe a few simple principles to help prospective users choose the data type(s) that best suit their needs, where to get them, and how to use them to their best advantage.

引用

页码：238 / 249

页数：12

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