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MHiC, an Integrated User-friendly Tool for the Identification and Visualization of Significant Interactions in Hi-C Data

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2020 Mar 14
PMID 32164554
Citations 6
Authors
Saman Khakmardan
Mohsen Rezvani
Ali Akbar Pouyan
Mansoor Fateh
Hamid Alinejad-Rokny
Affiliations
Soon will be listed here.
Abstract

Background: Hi-C is a molecular biology technique to understand the genome spatial structure. However, data obtained from Hi-C experiments is biased. Therefore, several methods have been developed to model Hi-C data and identify significant interactions. Each method receives its own Hi-C data structure and only work on specific operating systems.

Results: We introduce MHiC (Multi-function Hi-C data analysis tool), a tool to identify and visualize statistically signifiant interactions from Hi-C data. The MHiC tool (i) works on different operating systems, (ii) accepts various Hi-C data structures from different Hi-C analysis tools such as HiCUP or HiC-Pro, (iii) identify significant Hi-C interactions with GOTHiC, HiCNorm and Fit-Hi-C methods and (iv) visualizes interactions in Arc or Heatmap diagram. MHiC is an open-source tool which is freely available for download on https://github.com/MHi-C.

Conclusions: MHiC is an integrated tool for the analysis of high-throughput chromosome conformation capture (Hi-C) data.

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