PpHiC: Interactive Exploration of Hi-C Results on the ProteinPaint Web Portal

Overview

Journal Comput Struct Biotechnol J

Specialty Biotechnology

Date 2024 Oct 21

PMID 39430404

Authors

Akanksha Rajput

Colleen Reilly

Airen Zaldivar Peraza

Jian Wang

Edgar Sioson

Gavriel Matt

Robin Paul

Congyu Lu

Aleksandar Acic

Karishma Gangwani

Xin Zhou

Affiliations

Soon will be listed here.

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.

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