ClinVAP

ClinVAP annotates and prioritizes somatic single nucleotide variants (SNVs) from VCF files to support clinical interpretation and identification of actionable targets in oncology.


Key Features:

  • Automated annotation and prioritization: Integrates documented or predicted clinical effects and prioritizes somatic SNVs based on driver gene status and druggability.
  • Reproducibility and scalability: Delivered as a fully containerized pipeline to enable reproducible, scalable analysis of large variant datasets.
  • Interoperability: Accepts VCF input and is designed to interoperate with multiple data formats and downstream systems.
  • Output formats: Produces JSON-based reports and supports rendering into user-defined templates for human-readable outputs.

Scientific Applications:

  • NGS-based oncology variant interpretation: Supports interpretation of somatic variants derived from next-generation sequencing for cancer diagnosis and therapy planning.
  • Personalized oncology: Aids prioritization of actionable targets by assessing driver genes and druggability for individualized treatment decisions.
  • High-throughput somatic variant analysis: Enables large-scale analysis and prioritization of variant lists in research and clinical contexts.

Methodology:

Annotation: augment variant data with documented or predicted clinical effects; Filtering: remove non-relevant or low-confidence variants; Prioritization: rank variants by clinical significance focusing on driver gene status and druggability; Output: generate a JSON-based report.

Topics

Details

License:
MIT
Tool Type:
workflow
Programming Languages:
Python
Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Sürün B, Schärfe CPI, Divine MR, Heinrich J, Toussaint NC, Zimmermann L, Beha J, Kohlbacher O. ClinVAP: a reporting strategy from variants to therapeutic options. Bioinformatics. 2019;36(7):2316-2317. doi:10.1093/bioinformatics/btz924. PMID:31830259. PMCID:PMC7141851.

PMID: 31830259
PMCID: PMC7141851
Funding: - Bundesministerium für Bildung und Forschung: 01ZX1601F, 01ZZ1804D, 031L0030A