ChIP-Array

ChIP-Array integrates ChIP-seq and microarray gene expression data to identify direct and indirect transcription factor (TF) target genes and improve inference of gene regulatory relationships.

Key Features:

• Integration of Datasets: Combines ChIP-seq TF binding site maps with microarray expression profiles from TF perturbation to distinguish direct versus indirect targets.
• Comprehensive Analysis: Performs unified analysis of ChIP-seq and microarray datasets to jointly assess binding and expression evidence.
• Multi-Species Support: Supports genomic data from humans, mice, yeast, fruit flies (Drosophila), and Arabidopsis.
• Reduction of False Positives: Integrates binding and expression data to mitigate false positives associated with each method used independently.
• Functional Characterization Aid: Assists in functional characterization of transcription factors by identifying direct and indirect targets and revealing regulatory relationships.

Scientific Applications:

• TF binding site mapping: Map transcription factor binding sites using ChIP-seq data.
• Binding–expression correlation: Correlate TF binding events with changes in gene expression measured by microarrays.
• Target classification: Identify direct versus indirect TF targets to clarify gene regulatory networks.
• Cross-species analysis: Explore transcription factor function across multiple species and biological contexts.

Methodology:

Uses ChIP-seq to identify active transcription factor binding sites and microarray data to quantify gene expression changes, integrating these datasets to infer TF-target relationships.