PPHIC：蛋白质paint Web门户上HI-C结果的交互式探索
ppHiC: Interactive exploration of Hi-C results on the ProteinPaint web portal
影响因子:4.10000
分区:生物学3区 / 生化与分子生物学3区
发表日期:2024 Dec
作者:
Akanksha Rajput, Colleen Reilly, Airen Zaldivar Peraza, Jian Wang, Edgar Sioson, Gavriel Matt, Robin Paul, Congyu Lu, Aleksandar Acic, Karishma Gangwani, Xin Zhou
摘要
ProteinPaint HI-C工具（PPHIC）促进了基于Web的可视化和HI-C数据的协作探索，这是了解三维基因组结构的重要资源。 PPHIC允许研究人员在Web浏览器上轻松分析大型HI-C数据集，而无需迄今为止对该复杂基因组数据的访问权限的计算专业知识。该平台与多个HI-C数据版本兼容，并具有高度可自定义的接口，包括用于精确调整密钥可视化参数的配置面板。该工具的交互功能提供了广泛的视图，从全基因组景观到基因座对之间的详细互动，这些互动可在单个集成环境中访问。在这里，我们证明了如何使用PPHIC可视化神经母细胞瘤中改变的染色质构象局势可以告知人们对该癌症中基因组重排的理解。
Abstract
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.