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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 microarray-based...

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Related Experiment Video

Updated: May 18, 2026

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

ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia.

Stephen G Landt¹, Georgi K Marinov, Anshul Kundaje

¹Department of Genetics, Stanford University, Stanford, California 94305, USA.

Genome Research

|September 8, 2012

Summary

Chromatin immunoprecipitation sequencing (ChIP-seq) quality varies due to inconsistent methods. ENCODE and modENCODE developed standards for antibody validation, replication, and data archiving to improve ChIP-seq utility.

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Last Updated: May 18, 2026

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

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Published on: June 21, 2018

Area of Science:

Molecular Biology
Genomics
Epigenetics

Background:

Chromatin immunoprecipitation sequencing (ChIP-seq) is vital for mapping genomic binding sites of transcription factors and histone modifications.
Significant variability exists in ChIP-seq experimental protocols, data quality assessment, and public data archiving.

Purpose of the Study:

To establish standardized guidelines for conducting and evaluating ChIP-seq experiments.
To improve the quality and utility of ChIP-seq data for research.

Main Methods:

Development of working standards and guidelines by the ENCODE and modENCODE consortia.
Guidelines cover antibody validation, experimental replication, sequencing depth, data reporting, and quality assessment.
Public deposition of all analyzed datasets on ENCODE and modENCODE portals.

Main Results:

Established comprehensive guidelines for robust ChIP-seq experiments.
Demonstrated the impact of ChIP quality on data usability.
Ensured public accessibility of ChIP-seq datasets for broader scientific use.

Conclusions:

Standardized ChIP-seq protocols are essential for reliable and reproducible results.
Adherence to ENCODE and modENCODE guidelines enhances the quality and utility of ChIP-seq data.
Publicly available, high-quality ChIP-seq data accelerates discoveries in epigenetics and gene regulation.