ppHiC: Interactive exploration of Hi-C results on the ProteinPaint web portal
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 computatio...
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Veröffentlicht in: | Computational and structural biotechnology journal 2024-12, Vol.23, p.3467-3471 |
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Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
•Web-based platform for easy access to and sharing of large Hi-C datasets.•Interactive visualization with multiple views and seamless transitions for detailed genomic analysis.•Customizable interface supporting various Hi-C versions. |
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ISSN: | 2001-0370 2001-0370 |
DOI: | 10.1016/j.csbj.2024.09.020 |