AMBAR

AMBAR annotates and prioritizes genetic alterations from next-generation sequencing (NGS) to support molecular tumor board decision-making and identify potential therapeutic targets.

Key Features:

• Interactive Visualization: Visualizes annotated mutations detected by next-generation sequencing (NGS) and provides per-variant annotation relevant to therapeutic interpretation.
• Therapeutic Target Identification: Highlights evidence linking genetic alterations to potential therapeutic drug targets and associated clinical evidence.
• Customization and Filtering: Provides customizable filtering and data-querying functions to subset and navigate large mutation and sequencing datasets.
• Integration with Clinical Systems: Exports evaluated mutation data for incorporation into clinical information systems.

Scientific Applications:

• Precision oncology: Supports interpretation and prioritization of genetic alterations from NGS to inform tailored cancer treatment and candidate targeted therapies.
• Molecular tumor boards (MTBs): Facilitates evaluation and discussion of annotated mutations during MTB meetings and the transfer of results into clinical workflows.

Methodology:

Implements an R Shiny-based application that processes annotated NGS mutation data, integrates up-to-date evidence from various databases, and enables export of evaluated mutation data to clinical information systems.