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ChIP-seq

ChIP-seq

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What is ChIP-seq?

ChIP-seq (Chromatin Immunoprecipitation sequencing) is a method used to identify DNA binding sites of specific proteins. It combines chromatin immunoprecipitation ('ChIP') with massively parallel DNA sequencing to identify the binding sites of DNA-associated proteins. ChIP-seq is commonly used to map transcription factor binding sites, histone modifications, and other protein-DNA interactions genome-wide.

What other technologies are related to ChIP-seq?

ChIP-seq Competitor Technologies

ATAC-seq maps genome-wide chromatin accessibility, providing information about regulatory regions, similar to ChIP-seq which identifies protein-DNA binding sites.
mentioned alongside ChIP-seq in 49% (1.1k) of relevant job posts
CUT&RUN is an alternative method for mapping protein-DNA interactions, similar to ChIP-seq.
mentioned alongside ChIP-seq in 56% (242) of relevant job posts
CUT&Tag is another method competitive to ChIP-seq for mapping protein-DNA interactions with potentially higher resolution and efficiency.
mentioned alongside ChIP-seq in 52% (141) of relevant job posts
Single-cell ATAC-seq maps chromatin accessibility at single-cell resolution, providing an alternative to ChIP-seq for inferring regulatory landscapes.
mentioned alongside ChIP-seq in 40% (59) of relevant job posts
Single-cell ATAC-seq maps chromatin accessibility at single-cell resolution, providing an alternative to ChIP-seq for inferring regulatory landscapes.
mentioned alongside ChIP-seq in 19% (61) of relevant job posts

ChIP-seq Complementary Technologies

RNA-seq measures gene expression levels, which can be correlated with the binding of transcription factors or chromatin modifiers identified by ChIP-seq.
mentioned alongside ChIP-seq in 27% (1.4k) of relevant job posts
Hi-C determines the 3D structure of the genome, which can provide context for the protein-DNA interactions identified by ChIP-seq.
mentioned alongside ChIP-seq in 66% (325) of relevant job posts
Single-cell RNA-seq provides gene expression data at single-cell resolution, which can be integrated with ChIP-seq data to understand cell-type specific regulatory mechanisms.
mentioned alongside ChIP-seq in 14% (190) of relevant job posts

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