HiCeekR: A Novel Shiny App for Hi-C Data Analysis

Di Filippo, Lucio and Righelli, Dario and Gagliardi, Miriam and Matarazzo, Maria Rosaria and Angelini, Claudia (2019) HiCeekR: A Novel Shiny App for Hi-C Data Analysis. Frontiers in Genetics, 10. ISSN 1664-8021

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Abstract

The High-throughput Chromosome Conformation Capture (Hi-C) technique combines the power of the Next Generation Sequencing technologies with chromosome conformation capture approach to study the 3D chromatin organization at the genome-wide scale. Although such a technique is quite recent, many tools are already available for pre-processing and analyzing Hi-C data, allowing to identify chromatin loops, topological associating domains and A/B compartments. However, only a few of them provide an exhaustive analysis pipeline or allow to easily integrate and visualize other omic layers. Moreover, most of the available tools are designed for expert users, who have great confidence with command-line applications. In this paper, we present HiCeekR (https://github.com/lucidif/HiCeekR), a novel R Graphical User Interface (GUI) that allows researchers to easily perform a complete Hi-C data analysis. With the aid of the Shiny libraries, it integrates several R/Bioconductor packages for Hi-C data analysis and visualization, guiding the user during the entire process. Here, we describe its architecture and functionalities, then illustrate its capabilities using a publicly available dataset.

Item Type: Article
Subjects: West Bengal Archive > Medical Science
Depositing User: Unnamed user with email support@westbengalarchive.com
Date Deposited: 03 Feb 2023 11:11
Last Modified: 22 May 2024 09:32
URI: http://article.stmacademicwriting.com/id/eprint/183

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