Software tools for visualizing Hi-C data.
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.
Department of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, 98105, WA, USA.
Galip Gürkan
0000-0001-7283-4715
GG
Yardımcı
Department of Genome Sciences, Department of Computer Science and Engineering, University of Washington, 3720 15th Ave NE, Seattle, 98105, WA, USA. william-noble@uw.edu.
William Stafford
WS
Noble
D000818:Animals; D004247:DNA; D066264:Datasets as Topic; D016678:Genome; D023281:Genomics / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional; D008958:Models, Molecular; D009690:Nucleic Acid Conformation; D012984:Software; D064878:Web Browser
D004247:DNA