How to Identify Gene Promoters and Enhancers by ChIP-Seq
The distribution of histone modifications can be analyzed by ChIP-seq to find the promoter and enhancer regions of genes and whether they activate or repress gene expression.
ChIP-seq Analysis - Palomero Lab How-To
Oct 17, 2024 · DROMPA (DRaw and Observe Multiple enrichment Profiles and Annotation) is a comprehensive tool for easy-to-handle peak calling and visualization in ChIP-seq data …
ChIP-Seq - Expasy
The server also provides access to hundreds of publicly available data sets such as ChIP-seq data, RNA-seq data (i.e. CAGE), DNA-methylation data, sequence annotations (promoters, …
ChIP-qPCR analysis of RNApolII enrichment in GAPDH promoters in MBD-231 cells chromatin using High-sensitivity ChIP Kit (ab185913). Library obtained from 0.2 ng of human placenta …
Chapter 9 ChIP-seq analysis | Computational Genomics with R
In this chapter, we will introduce how to process and analyze ChIP-seq data in order to identify genome-wide protein binding sites and to discover underlying sequence context via …
Combined with next generation sequencing (ChIP-seq), it is possible to map out genome-wide protein binding profiles to determine promoters or other binding sites, or to investigate …
Basics of ChIP-seq data analysis - Bioconductor
ChIP-seq experiments are designed to isolate regions enriched in a factor of interest. The identification of enriched regions, often refered to as peak finding, is an area of research by …
Visualization of peaks | Introduction to ChIP-Seq using high ...
Because many cis-regulatory elements (i.e. promoters, enhancers, and silencers) are close to transcription start site (TSS) of their targets, a common visualization technique is to evaluate …
A Beginner’s Guide to ChIP-Seq Data Analysis - Medium
Apr 19, 2023 · ChIP-Seq data analysis involves processing and interpreting the sequencing data generated from a ChIP-Seq experiment. The goal is to identify regions of the genome where a …
Estimating fragment length is an important step in ChIP-Seq data processing as a QC measure and as a precursor to further analyses such as peak calling to identify transription factor …