Computational and Structural Biotechnology Journal (Dec 2024)

ppHiC: Interactive exploration of Hi-C results on the ProteinPaint web portal

  • Akanksha Rajput,
  • Colleen Reilly,
  • Airen Zaldivar Peraza,
  • Jian Wang,
  • Edgar Sioson,
  • Gavriel Matt,
  • Robin Paul,
  • Congyu Lu,
  • Aleksandar Acic,
  • Karishma Gangwani,
  • Xin Zhou

Journal volume & issue
Vol. 23
pp. 3467 – 3471

Abstract

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The ProteinPaint Hi-C tool (ppHiC) facilitates web-based visualization and collaborative exploration of Hi-C data, a vital resource for understanding three-dimensional genomic structures. ppHiC allows researchers to easily analyze large Hi-C datasets on a web browser without requiring the computational expertise that has heretofore limited access to this complex genomic data. The platform is compatible with multiple Hi-C data versions and boasts a highly customizable interface, including a configuration panel for the precise adjustment of key visualization parameters. The tool’s interactive features offer a broad range of views, from whole-genome landscapes to detailed interactions between pairs of loci, that are accessible within a single, integrated environment. Here, we demonstrate how using ppHiC to visualize an altered chromatin conformational landscape in neuroblastoma can inform understanding of the genomic rearrangements in this cancer.

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