ColoWeb

ColoWeb analyzes colocalization between user-defined genomic regions and annotated genomic features to quantify spatial relationships in next-generation sequencing data such as ChIP-seq.

Key Features:

• Genomic feature comparison: Accepts user-submitted genomic regions, including peaks from ChIP-seq, and compares them to other genomic features.
• Annotated feature database: Compares query regions against a database of genomic features including transcription factors and chromatin modifiers.
• Colocalization scoring: Employs algorithms that calculate colocalization strength and produce quantitative measures.
• Graphical and quantitative outputs: Presents results in both visual representations and numerical formats to summarize colocalization relationships.
• Frequent colocation identification: Detects recurrent colocations to support downstream biological interpretation and hypothesis generation.

Scientific Applications:

• Genome-wide colocalization analysis: Enables analysis of spatial relationships among genomic elements across whole-genome datasets from next-generation sequencing.
• Investigation of regulatory interactions: Supports study of cooperative interactions among nuclear components such as transcription factors and chromatin modifiers to inform regulatory mechanisms.
• Hypothesis generation for experimental follow-up: Identifies frequent colocations to guide subsequent experimental investigations and interpretation of gene regulation patterns.

Methodology:

Users submit genomic regions which are automatically compared with annotated genomic features; algorithms calculate colocalization strength and results are returned in visual and numerical formats.