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.