Software tools for visualizing Hi-C data

被引：47

作者：

Yardimci, Galip Gurkan ^{[1
]}

Noble, William Stafford ^{[2
]}

机构：

[1] Univ Washington, Dept Genome Sci, 3720 15th Ave NE, Seattle, WA 98105 USA

[2] Univ Washington, Dept Comp Sci & Engn, Dept Genome Sci, 3720 15th Ave NE, Seattle, WA 98105 USA

来源：

GENOME BIOLOGY | 2017年 / 18卷

基金：

美国国家卫生研究院;

关键词：

BIOCONDUCTOR PACKAGE; CONTACT MAPS; HUMAN GENOME; DOMAINS; PRINCIPLES; PROVIDES; SYSTEM; BIASES;

D O I：

10.1186/s13059-017-1161-y

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

High-throughput assays for measuring the three-dimensional (3D) configuration of DNA have provided unprecedented insights into the relationship between DNA 3D configuration and function. Data interpretation from assays such as ChIA-PET and Hi-C is challenging because the data is large and cannot be easily rendered using standard genome browsers. An effective Hi-C visualization tool must provide several visualization modes and be capable of viewing the data in conjunction with existing, complementary data. We review five software tools that do not require programming expertise. We summarize their complementary functionalities, and highlight which tool is best equipped for specific tasks.

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