FiNGS
FiNGS filters somatic variant calls to improve precision of next-generation sequencing analyses in cancer samples.
Key Features:
- Configurable Filters and Thresholds: Provides fully configurable filters and thresholds to tailor somatic variant filtering to specific datasets and experimental conditions.
- Advanced Filtering Techniques: Applies advanced filtering techniques to reduce false positives from somatic variant callers.
- Reproducibility and Validation: Validated using publicly available sequencing datasets and demonstrates improved precision over default variant caller outputs.
- VCF Integration: Ingests and emits Variant Call Format (VCF) files for integration into existing NGS pipelines.
- Customizable Filtering Strategies: Supports user-defined filtering strategies that can be exported and shared.
Scientific Applications:
- Cancer Genomics: Supports accurate identification of somatic mutations to aid studies of tumor biology and targeted therapy development.
- Artifact Reduction: Helps distinguish true somatic mutations from sequencing and calling artifacts by improving precision.
- Mutation Burden Assessment: Improves the accuracy of mutation burden estimates by reducing false positive variant calls.
- Downstream Analyses: Enhances downstream analyses such as pathway analysis and personalized medicine approaches by providing higher-precision variant sets.
Methodology:
Applies configurable filters and thresholds and advanced filtering techniques to VCF-format somatic variant calls to reduce false positives and improve precision, with validation on publicly available sequencing datasets.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 3/19/2021
- Last Updated:
- 3/22/2021
Operations
Publications
Wardell CP, Ashby C, Bauer MA. FiNGS: high quality somatic mutations using filters for next generation sequencing. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-03995-y. PMID:33602113. PMCID:PMC7890800.