SnackVar
SnackVar analyzes Sanger sequencing data to detect and characterize genetic variants for clinical and research applications.
Key Features:
- Comprehensive Variant Detection: Identifies all types of genetic variants from Sanger sequencing data, including heterozygous insertion/deletion (indel) variants.
- Automated Heterozygous Indel Optimization: Automatically adjusts the gap opening penalty when higher values are required for accurate indel detection.
- Prestored Reference Sequences and HGVS Annotation: Includes prestored reference sequences for all genes and describes/annotates detected variants according to Human Genome Variation Society (HGVS) nomenclature.
- Performance on Indel-rich Genes: Demonstrated 98.9% concordance with previously reported variants in BRCA1, APC, CALR, and CEBPA and required less than half the analysis time versus compared commercial software for selected test cases.
Scientific Applications:
- Clinical diagnostics: Detection and characterization of pathogenic variants from Sanger sequencing in clinical laboratory workflows.
- Variant confirmation and validation: Confirmation of variants detected by next-generation sequencing through targeted Sanger sequencing analysis.
- Genetic research and personalized medicine: Analysis of indel-rich genes and precise variant annotation to support research and individualized clinical interpretation.
Methodology:
Performs variant calling from Sanger sequencing data, automatically adjusts gap opening penalty for indel detection, uses prestored reference sequences for all genes, and generates HGVS-compliant variant descriptions.
Topics
Details
- License:
- Apache-2.0
- Programming Languages:
- Java
- Added:
- 1/18/2021
- Last Updated:
- 2/20/2021
Operations
Publications
Kim Y, Kim MJ, Lee J, Lee JA, Song JY, Cho SI, Park S, Seong M. SnackVar. The Journal of Molecular Diagnostics. 2021;23(2):140-148. doi:10.1016/j.jmoldx.2020.11.001. PMID:33246077.
PMID: 33246077