MULTOVL

MULTOVL detects and statistically analyzes multiple overlaps among genomic regions to identify intersections, unions, and solitary regions and to assess their significance.

Key Features:

• Detection Capabilities: Identifies intersections, unions, and solitary (non-overlapping) genomic regions across multiple input datasets.
• Statistical Analysis: Assesses significance of observed overlaps using empirical null distributions generated by random shuffling of input regions.

Scientific Applications:

• Genomic Intersection Studies: Enables analysis of complex intersections among genomic features such as genes, regulatory elements, and structural variants.
• Union Analysis: Identifies comprehensive sets of genomic regions that collectively cover multiple inputs, relevant to studies of gene expression regulation and chromatin accessibility.
• Solitary Region Identification: Pinpoints unique genomic segments that do not overlap other inputs for focused downstream investigation.

Methodology:

Inputs multiple genomic region datasets, computes intersections and unions among regions, and evaluates overlap significance by comparing observed overlaps to empirical null distributions generated via random shuffling (permutations) of the input regions.