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Related Concept Videos

RNA-seq03:21

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)
09:06

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
PubMed
Summary
This summary is machine-generated.

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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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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.