SNV calling
SNV Calling is a workflow for detecting single-nucleotide variants in human sequencing data. It was developed in the Applied Bioinformatics and Theoretical Bioinformatics groups at the DKFZ, and an earlier version of the workflow was used in the Pan-Cancer project. The workflow is designed for annotation-aware SNV detection in human datasets and is suited for human reference genome builds such as hg37/hg19 and, in some later versions, hg38.
Key benefits
Detects single-nucleotide variants in human sequencing data
Developed for large-scale cancer genomics and NGS analysis workflows
Earlier workflow version was used in the Pan-Cancer project
Includes annotation-aware processing for human genome data
Supports human reference builds such as hg37/hg19 and selected hg38 versions
Applications
SNV detection in human sequencing datasets
Variant calling in cancer genomics projects
Analysis of whole-genome or targeted sequencing data
Integration into standardized NGS processing environments
Human genome analysis requiring annotation-aware variant workflows
Intended use
SNV Calling is intended for bioinformaticians, cancer genomics researchers, sequencing facilities, and genomics research groups working with human sequencing data. It is particularly suited for users who need a workflow for single-nucleotide variant detection in human datasets where genome annotations play an important role in the analysis.
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