Software tools for visualizing Hi-C data

Galip Gürkan Yardimci, William Stafford Noble

Research output: Contribution to journalReview articlepeer-review

31 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number26
JournalGenome biology
Volume18
Issue number1
DOIs
StatePublished - Feb 3 2017
Externally publishedYes

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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