ChIP-Sequencing

ChIP-Sequencing (ChIP-Seq) is widely used to analyze protein interaction with DNA. We have extensive experience supporting partners across the world with their ChIP-Seq research needs. Tell us about your project, our experts are here to help.

ChIP-Sequencing is widely used to analyze protein interaction with DNA. It combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing to identify binding sites of DNA-associated proteins, and can be used to precisely map global binding sites for any protein of interest. ChIP sequencing offers higher resolution and more precise and abundant information in comparison to array-based ChIP-chip approaches.

In addition to clean data output, BGI offers a range of standard, advanced and customized bioinformatics pipelines for your ChIP-Seq analysis project. We have particular expertise in the correlation analysis of RNA-Seq differential expression genes and ChIP-Seq peak related genes. Contact us for a no obligation discussion with our project experts.

Specifications

  • 50bp Single-end sequencing reads
  • Standard output 20 Million reads per sample
  • Clean data and bioinformatics analysis are available
    in standard file formats
  • Available data storage and bioinformatics applications
  • Cloud-based data storage and delivery system

Sample Requirements

  • ChIP-ed DNA – Amount ≥ 10ng, Concentration ≥ 1 ng/µl – 15 µl
  • ChIP -ed DNA (human sample only) – Amount ≥ 5ng, Concentration ≥ 1 ng/µl – 15 µl

Standart Bioinformatics Analysis

  • Data filtering
  • Alignment to the reference genome
  • Peak scanning and annotation
  • Identification of differential peaks between samples
  • Identification of differential peaks between groups
  • Differential peaks annotation

ChIP Sequencing

ChIP Sequencing Technology

BGI’s ChIP Sequencing services are typically executed with proprietary DNBSEQ™ sequencing technology platforms, for great sequencing data at some of the lowest costs in the industry. DNBSEQ™ offers advantages in terms of lower amplification error rates and much lower duplication rates. In addition, studies have shown the lower index hopping rate in DNBSEQ™ platforms.