Manhattan Harvester

Manhattan Harvester automates detection and characterization of significant genomic peaks from GWAS summary files and Manhattan Plots to identify genomic regions associated with phenotypes.

Key Features:

• Automated Peak Detection: Processes GWAS summary files and Manhattan Plots to detect genomic regions corresponding to peaks without manual inspection.
• Comprehensive Characterization: Computes multiple parameters that characterize individual peaks and generates a general quality score for each detected region.
• Batch Processing Capability: Screens large numbers of GWAS output files in batch mode to support analyses across many phenotypes.
• Integration with Cropper: Integrates with Cropper to enable downstream validation and visualization of detected peaks.

Scientific Applications:

• GWAS Analysis: Automates peak extraction to streamline identification of genomic regions associated with phenotypes in genome-wide association studies.
• High-throughput Phenotype Screening: Supports screening of thousands of phenotypes by enabling batch processing of GWAS outputs.
• Data Validation and Visualization: Facilitates validation and visualization of detected peaks through integration with Cropper and output characterization metrics.

Methodology:

Manhattan Harvester applies algorithms for peak extraction from GWAS summary files, identifies regions of interest based on predefined criteria that mimic expert judgment, and computes a general quality score for each detected peak.