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• W2952651570 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." @default.
• W2952651570 created "2019-06-27" @default.
• W2952651570 creator A5026324674 @default.
• W2952651570 date "2017-02-03" @default.
• W2952651570 modified "2023-09-30" @default.
• W2952651570 title "Software tools for visualizing Hi-C data" @default.
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• W2952651570 doi "https://doi.org/10.1186/s13059-017-1161-y" @default.
• W2952651570 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5290626" @default.
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• W2952651570 hasPublicationYear "2017" @default.
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