Analysis of DNA-protein interactions provides researchers with insight into regulation events that are critical for many biological processes and disease states. This epigenetic information is complementary to DNA sequencing, genotyping, gene expression, and other forms of genomic analysis.
By combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing, ChIP-Seq accurately surveys interactions between protein, DNA, and RNA, enabling the interpretation of regulation events central to many biological processes and disease states. Use ChIP-Seq to identify transcription factor binding sites, track histone modifications across the genome, and narrow in on chromatin structure and function.
Watch Illumina scientists discuss how over- and underclustering can affect your sequencing data. Learn about common clustering issues and ways to prevent them.View Video
Cluster density has a significant impact on run performance, specifically data quality and total output. Learn how to achieve more consistent cluster densities.Read Bulletin
Altered transcription factor binding is a common epigenetic pattern in cancer. ChIP-Seq experiments provide researchers with a complete snapshot of DNA regions associated with a protein of interest. Learn more about cancer epigenetics.
Understanding the genetic architecture of complex diseases relies heavily on discovery and characterization of genetic variants associated with a particular disease. Learn more about GWAS for common variant discovery associated with disease.