Differential peak analysis
Identifying differentially expressed peaks in genomics data is a key task in bioinformatics and has many uses. One of the most common applications is the analysis of ChIP-Seq data, where the technique is used to identify binding sites of transcription factors and other DNA-binding proteins. By comparing ChIP-Seq data between different samples or conditions, researchers can identify peaks of enrichment that are differentially expressed and gain insight into how the protein in question regulates the expression of different genes. Another example is RNA-Seq data – by comparing RNA-Seq data between different samples or conditions, researchers can identify peaks of expression that are differentially expressed and gain insight into how different samples or conditions affect the expression of different genes.
Other use cases include Histone modification and ATAC-Seq data analysis to study the regulation of gene expression through chromatin accessibility...
