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Software tools for visualizing Hi-C data
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AI
DOI：10.1186/s13059-017-1161-y.png)
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Abstract
En 中文
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.
Keywords:
BIOCONDUCTOR PACKAGE
CONTACT MAPS
HUMAN GENOME
DOMAINS
PRINCIPLES
PROVIDES
SYSTEM
BIASES
Journal
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