AnFiSA
AnFiSA analyzes and curates genomic variants to support variant interpretation for rare genetic disease research and clinical diagnostics.
Key Features:
- Integration of Clinical and Research Workflows: Supports both clinical and research variant-analysis workflows to accommodate diagnostic and discovery use cases in genomic sequencing.
- Crowdsourcing Capability: Enables collaborative variant curation and case review across clinicians, researchers, and developers to assist difficult-to-diagnose cases.
- Forward-Compatible Architecture: Implements a multidimensional database management system (DBMS) to maintain reproducibility and adapt to evolving diagnostic rules and updates of genomics databases.
- Curated Decision Trees: Provides adaptable, curator-editable decision trees for filtering and prioritizing variants according to updated clinical guidelines.
- Explainability for Clinicians: Produces explainable outputs that clarify variant-filtering decisions to support clinical interpretation.
Scientific Applications:
- Rare Genetic Disease Diagnosis: Supports interpretation and curation of variants for diagnosis, genetic counseling, and treatment planning in rare genetic diseases.
- Clinical Genomics Diagnostics: Integrates research-derived variant evidence into clinical workflows for diagnostics in hospital settings where genomic sequencing is routine.
- Personalized Medicine and Research: Facilitates reproducible variant analysis to enable personalized medicine approaches and study of complex genetic disorders.
Methodology:
Employs a multidimensional DBMS and curator-editable decision trees to enable reproducible variant filtering and adaptation to updates in genomics databases.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python, JavaScript
- Added:
- 12/10/2021
- Last Updated:
- 12/10/2021
Operations
Data Inputs & Outputs
Genetic variation analysis
Inputs
Outputs
Publications
Bouzinier M, Etin D, Trifonov S, Evdokimova V, Ulitin V, Shen J, Kokorev A, Ghazani AA, Chekaluk Y, Albertyn Z, Giersch A, Morton C, Abraamyan F, Bendapudi P, Sunyaev S, Krier J. AnFiSA: An open-source computational platform for the analysis of sequencing data for rare genetic disease. Unknown Journal. 2021. doi:10.1101/2021.09.26.21263358.
Links
Repository
https://github.com/ForomePlatform