Cruxome

Cruxome annotates and interprets single nucleotide variants (SNVs) and small insertions and deletions (InDels) from whole exome sequencing (WES) data to support clinical variant classification and standardized reporting.

Key Features:

• Automated annotation and interpretation: Performs automated annotation and interpretation of SNVs and small InDels from WES data.
• Natural language processing (NLP) to HPO: Translates clinical descriptions into standardized Human Phenotype Ontology (HPO) vocabularies using NLP.
• Machine learning and in silico predictive algorithms: Applies machine learning and in silico predictive algorithms for variant scoring and pathogenicity identification.
• Integration with databases: Leverages multiple integrated databases to enhance variant annotation and interpretation.
• Electronic health record (EHR) integration: Incorporates electronic health record data into genetic analyses to provide clinical context.
• Standardized reporting: Generates clinical reports following American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines.
• Support for trio-family and proband-only analyses: Processes both trio-family and proband-only case analyses.
• Historical case analysis tools: Provides tools to examine and visualize genes or variants across historical cases.

Scientific Applications:

• Clinical genetics and Mendelian disease diagnosis: Identifies and prioritizes pathogenic variants implicated in Mendelian disorders from WES-derived SNV/InDel data.
• Variant interpretation and reporting: Integrates phenotypic data (HPO) and EHR information to refine variant classification and produce ACMG/AMP-compliant reports.

Methodology:

Processes trio-family or proband-only cases using natural language processing to map phenotypes to HPO, combined with machine learning and in silico predictive algorithms for automated variant scoring and annotation.