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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...

Epigenetic Regulation

Epigenetic Regulation

Epigenetic Regulation

Epigenetic Regulation

Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...

Epigenetic Regulation

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.

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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

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Published on: May 6, 2022

MotifPeeker: benchmarking epigenomic profiling methods using motifs.

Hiranyamaya Dash^1,2, Thomas Roberts^1,2, Maria Weinert^1,2

¹Department of Brain Sciences, Imperial College London, Sir Michael Uren Hub, White City Campus, London W12 0BZ, United Kingdom.

Bioinformatics Advances

|March 30, 2026

Summary

This summary is machine-generated.

MotifPeeker benchmarks epigenomic profiling methods for transcription factors (TFs) using motif enrichment. This tool provides an intuitive HTML report for TF binding site analysis with minimal user input.

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Pattern-based Search of Epigenomic Data Using GeNemo

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Epigenomic profiling methods are crucial for understanding gene regulation.
Accurate identification of transcription factor (TF) binding sites is essential for studying gene expression.
A lack of a 'gold standard' reference complicates the benchmarking of TF profiling techniques.

Purpose of the Study:

To develop and present MotifPeeker, a novel tool for benchmarking epigenomic profiling methods.
To evaluate TF targeting methods using motif enrichment as a primary metric.
To provide a user-friendly platform for analyzing TF binding data.

Main Methods:

MotifPeeker utilizes motif enrichment analysis to assess the performance of epigenomic profiling techniques.
The tool requires minimal user input for data analysis.
An intuitive HTML report is generated to present the analysis results.

Main Results:

MotifPeeker successfully benchmarks epigenomic profiling methods in the absence of a gold standard.
The tool provides a standardized approach to evaluate TF targeting efficiency.
Users receive comprehensive and easy-to-understand reports on their data.

Conclusions:

MotifPeeker offers a valuable solution for assessing TF profiling methods.
The tool simplifies the analysis of epigenomic data related to transcription factors.
MotifPeeker enhances the ability to compare and select appropriate epigenomic profiling strategies.