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Chromatin Immunoprecipitation- ChIP

Chromatin Immunoprecipitation- ChIP

Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...

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Updated: Sep 7, 2025

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

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

Published on: April 5, 2018

Bioinformatics Methods for ChIP-seq Histone Analysis.

Nicolas Servant^1,2,3,4

¹Institut Curie, Bioinformatics core facility, Paris, France. nicolas.servant@curie.fr.

Methods in Molecular Biology (Clifton, N.J.)

|June 22, 2022

Summary

This summary is machine-generated.

Chromatin ImmunoPrecipitation followed by Sequencing (ChIP-seq) analysis reveals the epigenetics landscape. This chapter focuses on bioinformatic and biostatistical methods for analyzing ChIP-seq data, specifically for histone modifications.

Keywords:

Bioinformatics ChIP-seq Differential binding Peak calling Quality controls

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

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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

Area of Science:

Genomics
Epigenetics
Molecular Biology

Background:

High-throughput omics approaches, driven by next-generation sequencing, have revolutionized genomics since 2008.
Chromatin ImmunoPrecipitation followed by Sequencing (ChIP-seq) is a powerful technique for studying the epigenetics landscape.
ChIP-seq is widely used for identifying transcription factor binding sites and analyzing histone modifications.

Purpose of the Study:

To present and discuss the key bioinformatic and biostatistical analysis steps for ChIP-seq data.
To focus specifically on the analysis of histone modifications using ChIP-seq data.

Main Methods:

Bioinformatic analysis of ChIP-seq data
Biostatistical analysis of ChIP-seq data
Focus on histone modification analysis

Main Results:

Detailed presentation of ChIP-seq data analysis workflows.
Discussion of methods applicable to histone modification studies.

Conclusions:

ChIP-seq is a pivotal technique in modern epigenetics research.
Effective bioinformatic and biostatistical analysis is crucial for interpreting ChIP-seq data, particularly for histone modifications.