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Updated: Jun 4, 2026

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies

Published on: August 13, 2020

Identifying dispersed epigenomic domains from ChIP-Seq data.

Qiang Song¹, Andrew D Smith

¹Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.

Bioinformatics (Oxford, England)

|February 18, 2011

Summary

This summary is machine-generated.

We introduce RSEG, a new method for identifying epigenomic domains from histone modification ChIP-Seq data. RSEG precisely locates domain boundaries and can detect differential modifications between samples.

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Last Updated: Jun 4, 2026

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies

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Published on: August 13, 2020

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

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Isolation of Specific Genomic Regions and Identification of Associated Molecules by enChIP

Isolation of Specific Genomic Regions and Identification of Associated Molecules by enChIP

Published on: January 20, 2016

Area of Science:

Genomics
Epigenetics
Molecular Biology

Background:

Histone post-translational modifications are crucial for gene expression regulation.
Epigenomic domains represent large-scale genomic regions with shared epigenetic properties.
Current analysis tools struggle to adequately address challenges in identifying these domains from high-throughput data.

Purpose of the Study:

To present the RSEG method for identifying epigenomic domains from ChIP-Seq data.
To offer an alternative to peak-centric analysis by focusing on domain boundaries.
To enable the detection of differential histone modifications between samples.

Main Methods:

The RSEG method analyzes ChIP-Seq data to identify epigenomic domains.
It focuses on determining the boundaries of these domains rather than just peak locations.
The method incorporates control samples to identify differential histone modifications.

Main Results:

RSEG accurately identifies epigenomic domains from histone modification ChIP-Seq data.
The method effectively pinpoints domain boundaries.
RSEG successfully detects genomic regions with differential histone modifications when using control samples.

Conclusions:

RSEG provides a robust method for analyzing epigenomic domains.
The tool enhances the characterization of histone modification patterns.
RSEG is freely available, promoting further research in epigenomic domain analysis.