3Dmapper

3Dmapper maps genetic variants and annotated protein positions to corresponding protein structures to provide structural context for large-scale genomic analyses.

Key Features:

• Scalability: Handles biobank-scale genomic datasets to support cohort-wide analyses.
• Systematic mapping: Maps annotated protein positions and genetic variants to protein structures to provide functional and structural context.
• Data format compatibility: Incorporates algorithms to integrate heterogeneous data formats from different databases and tools to reduce mapping errors.
• Computational implementation: Implements computational algorithms in Python and R for processing genomic and protein annotation data.
• Automation and performance: Automates the mapping process to reduce manual errors and enable high-throughput analyses.

Scientific Applications:

• Interpret genomic variation: Associate genetic variants with structural features of proteins to infer potential functional impacts.
• Support structural biology: Link genomic and annotation data to three-dimensional protein structures for studies of protein function and interactions.
• Inform precision medicine: Connect individual genetic variation to protein structural context to aid development of personalized therapeutic hypotheses.

Methodology:

Uses computational algorithms implemented in Python and R to process input genomic and annotated protein data, automate mapping of variants and positions to protein structures, and handle heterogeneous data formats and biobank-scale datasets.