A practical guide for essential analyses of Hi-C data

Yu Liu; Erica M. Hildebrand

doi:10.1016/b978-0-12-817218-6.00002-4

A practical guide for essential analyses of Hi-C data

Yu Liu, Erica M. Hildebrand

University of Massachusetts Medical School

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The Hi-C method has been widely applied to study the spatial organization of genomes. Different from other omics data sets, Hi-C data contain complicated genomic information; thus, even though many bioinformatics tools have been developed, it is still challenging to process, analyze, and interpret Hi-C results accurately. In this chapter, we aim to provide a practical guide for how we can approach essential analyses of Hi-C data to generate high-quality and publishable results. We also share our experience interpreting Hi-C results in the published work to demonstrate how we learn from these results.

Original language	English
Title of host publication	Rigor and Reproducibility in Genetics and Genomics
Subtitle of host publication	Peer-reviewed, Published, Cited
Pages	343-361
Number of pages	19
ISBN (Electronic)	9780128172186
DOIs	https://doi.org/10.1016/b978-0-12-817218-6.00002-4
State	Published - 2024
Externally published	Yes

Keywords

Genome organization
Genome structures
Hi-C

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10.1016/b978-0-12-817218-6.00002-4

Cite this

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AB - The Hi-C method has been widely applied to study the spatial organization of genomes. Different from other omics data sets, Hi-C data contain complicated genomic information; thus, even though many bioinformatics tools have been developed, it is still challenging to process, analyze, and interpret Hi-C results accurately. In this chapter, we aim to provide a practical guide for how we can approach essential analyses of Hi-C data to generate high-quality and publishable results. We also share our experience interpreting Hi-C results in the published work to demonstrate how we learn from these results.

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KW - Genome structures

KW - Hi-C

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EP - 361

BT - Rigor and Reproducibility in Genetics and Genomics

ER -

A practical guide for essential analyses of Hi-C data

Abstract

Keywords

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