GenometriCorr

GenometriCorr computes spatial correlations between genome-wide interval and pointwise datasets to quantify associations among genomic features for hypothesis generation.

Key Features:

• Spatial Correlation Analysis: Calculates spatial correlations between two sets of genomic intervals or features to assess potential functional interactions.
• Flexible Data Handling: Accepts both pointwise and interval-based genomic datasets.
• Comprehensive Statistical Approaches: Computes the significance and direction of multiple spatial associations to provide quantitative measures of association.
• Biologically Motivated Methodologies: Implements several biologically motivated analysis approaches to align results with biological questions and contexts.

Scientific Applications:

• Functional Genomics: Identify correlations between genomic intervals and annotated biological features to infer potential functional interactions and regulatory mechanisms.
• Comparative Genomics: Compare diverse datasets across species or conditions to identify conserved or differential spatial associations.
• Epigenetics: Explore correlations between epigenetic modifications and other genomic features to investigate regulatory landscapes.

Methodology:

Implemented as an R package, GenometriCorr calculates spatial correlations and computes the significance and direction of multiple spatial associations using robust statistical models.