# Varlociraptor [![Bioconda](https://img.shields.io/conda/dn/bioconda/varlociraptor?label=bioconda%20downloads)](https://bioconda.github.io/recipes/varlociraptor/README.html) ![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/varlociraptor/varlociraptor/rust.yml?label=tests&branch=master) [![Codecov](https://img.shields.io/codecov/c/github/varlociraptor/varlociraptor/master.svg?label=test%20coverage)](https://codecov.io/gh/varlociraptor/varlociraptor) [![API docs](https://img.shields.io/badge/API-documentation-blue.svg)](https://docs.rs/varlociraptor) [![Conventional Commits](https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg)](https://conventionalcommits.org) [![Gitpod Ready-to-Code](https://img.shields.io/badge/Gitpod-ready--to--code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/varlociraptor/varlociraptor) Varlociraptor implements a novel, unified fully uncertainty-aware approach to genomic variant calling in arbitrary scenarios. ### Key features * Calls SNVs, MNVs, indels, inversions, duplications, replacements and breakends in all length ranges (from small to structural) with a unified statistical model. * The statistical model encompasses all possible sources of uncertainty and biases. * Resulting variant calls can be filtered by false discovery rate. No parameter tuning necessary. * Unbiased, maximum a posteriori allele frequency estimates are provided with each call. ### Calling modes * Generic, grammar based configuration of the statistical model, allowing to classify arbitrary scenarios, from poplation genetics, to pedigrees, complex tumor scenarios and arbitrary combinations thereof. * Tumor-normal-calling, classifying variants as somatic in tumor, somatic in normal, germline, or absent. **For details, see the homepage: https://varlociraptor.github.io**