Genomic GPS

Genomic GPS computes genetic distances using multilateration between user-provided genomic samples and public reference datasets to enable privacy-preserving genomic analyses.

Key Features:

• Multilateration Technique: Genomic GPS employs multilateration to compute genetic distances from user-provided samples to publicly available reference genomes.
• Privacy Protection: The tool shares calculated genetic distances instead of raw genomic sequences to reduce disclosure of personal genomic information.
• Data Sharing and Collaboration: By enabling exchange of genetic distance data, the tool facilitates collaborative analyses without sharing raw genomic data.

Scientific Applications:

• Sample Overlap Identification: Identify overlaps between user samples and entries in public reference datasets.
• Close Relative Detection: Detect close genetic relatives within datasets using genetic distance measures.
• Ancestry Decomposition: Decompose ancestry components from genetic distance profiles derived from genomic data.
• Geographical Origin Mapping: Map geographical origins of samples based on genetic distance relationships to reference populations.

Methodology:

Genomic GPS calculates genetic distances by comparing user-provided genomic data with public reference datasets and applies multilateration to position samples in genetic-distance space.