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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: May 7, 2025

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

Guidelines to Analyze ChIP-Seq Data: Journey Through QC and Analysis Considerations.

Bony De Kumar^1,2, Jaya Krishnan^3,4

¹Yale Center for Genome Analysis, West Haven, CT, USA.

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

|January 2, 2025

Summary

Chromatin immunoprecipitation sequencing (ChIP-Seq) analyzes DNA-protein interactions. This guide details quality control metrics and analytical tools essential for interpreting ChIP-Seq experimental results.

Keywords:

ChIP-Seq ENCODE Fraction of reads in peak (FRiP)Inconsistency discovery rate (IDR)Non-redundant fraction (NRF)Strand cross-correlation (SCC)

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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

Area of Science:

Molecular Biology
Genomics
Epigenetics

Background:

Chromatin immunoprecipitation sequencing (ChIP-Seq) is a powerful technique for investigating DNA-protein interactions.
It is crucial for understanding chromatin states and the regulatory functions of transcription factors.
Next-Generation sequencing (NGS) platforms are integral to modern ChIP-Seq experiments.

Purpose of the Study:

To provide a comprehensive overview of quality control (QC) metrics for ChIP-Seq experiments.
To introduce essential analytical tools for interpreting ChIP-Seq data.
To enhance the understanding and reliability of ChIP-Seq experimental outcomes.

Main Methods:

The chapter discusses the principles of ChIP-Seq, including immunoprecipitation and subsequent sequencing.
It highlights the guidelines provided by the ENCODE consortium for ChIP-Seq analysis.
Focus is placed on the selection and application of appropriate QC metrics.

Main Results:

Effective QC metrics are vital for assessing the quality and validity of ChIP-Seq data.
Understanding these metrics allows for robust interpretation of experimental findings.
Proper analysis ensures reliable insights into gene regulation and chromatin structure.

Conclusions:

Implementing rigorous quality control is paramount for successful ChIP-Seq experiments.
Knowledge of analytical tools and QC metrics improves the interpretation of ChIP-Seq results.
This chapter serves as a guide for researchers to optimize their ChIP-Seq analyses.