NeoFox

NeoFox annotates neoantigen candidate sequences with 16 distinct neo-epitope descriptors to support neoantigen prediction and validation in cancer immunotherapy.

Key Features:

• Comprehensive Feature Annotation: Annotates neoantigen candidate sequences with 16 distinct neo-epitope descriptors derived from the literature.
• Python implementation: Implemented as a Python package to provide programmatic access for integration into analysis workflows.
• Feature integration for prioritization: Integrates proposed neoantigen features into a cohesive set of annotations to assist in prioritizing candidate neoantigens.

Scientific Applications:

• Neoantigen prediction: Supports identification and ranking of candidate neoantigens for cancer immunotherapy studies by providing multi-feature annotations.
• Validation and feature research: Facilitates distinction of likely true neoantigens from false positives and investigation of feature relevance.

Methodology:

Features were identified via a systematic literature review and integrated into the package to enable automated annotation of neoantigen candidate sequences.