Phenopolis

Phenopolis facilitates the harmonization and analysis of genetic and phenotypic data to enable phenotype-driven variant filtering and gene prioritization.

Key Features:

• Data harmonization: Harmonizes and integrates genetic and phenotypic data from external databases to support joint analysis.
• Variant filtering and gene prioritization: Implements variant filtering algorithms and gene prioritization techniques that leverage phenotype information to narrow candidate disease-causing variants and genes.
• Human Phenotype Ontology (HPO) support: Uses the Human Phenotype Ontology to standardize phenotype annotation and improve phenotype-genotype correlations.
• Database integration: Connects and processes data from genetic and phenotypic databases for large-scale analyses.
• Technical implementation: Implemented using Python, MongoDB, HTML/Javascript, and bash shell scripts.

Scientific Applications:

• Clinical diagnosis: Assists in identifying genetic variants associated with specific patient phenotypes to support diagnostic evaluation.
• Gene discovery: Enables prioritization of candidate genes for follow-up studies in research settings.
• Rare disease phenotype standardization: Promotes standardized phenotype annotation using HPO to facilitate rare genetic disorder studies and phenotype-driven analyses.

Methodology:

Processes and analyzes large genetic and phenotypic datasets using variant filtering algorithms, gene prioritization techniques, and Human Phenotype Ontology-based phenotype harmonization.