CRAVAT

CRAVAT analyzes and prioritizes genomic variants from high-throughput sequencing to support identification of cancer-relevant missense alterations, germline variants, and somatic mutations.

Key Features:

• High-throughput assessment: Supports evaluation of genes and missense alterations across large sequencing datasets.
• Predictive scoring: Provides predictive scores for germline variants and somatic mutations to assess potential biological significance.
• Gene importance evaluation: Quantifies the relative importance of genes to aid identification of potential cancer drivers.
• Comprehensive annotations: Integrates annotations from published literature and external databases to enrich variant context.
• Variant prioritization: Prioritizes variants based on predictive scores and gene importance for downstream validation.
• Data output formats: Exports results as MS Excel spreadsheets and tab-separated text files.
• Large-dataset handling: Scales to and processes large-scale high-throughput sequencing datasets efficiently.

Scientific Applications:

• Cancer variant interpretation: Identification and interpretation of genomic alterations that may contribute to tumorigenesis.
• Prioritization for experimental validation: Ranking candidate variants and genes for follow-up experimental studies.
• High-throughput sequencing analysis: Analysis and prioritization of variants from large-scale sequencing studies in oncology.

Methodology:

CRAVAT applies advanced algorithms that integrate predictive scoring with extensive annotations to assess the potential impact of genomic variants on cancer development.