varlociraptor 2.4.0

A library for calling of genomic variants using a latent variable model.
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Varlociraptor

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Varlociraptor implements a novel, unified fully uncertainty-aware approach to genomic variant calling in arbitrary scenarios.

Key features

  • Calls SNVs and indels in all length ranges (from small to structural) with a unified statistical model.
  • The statistical model entails all possible sources of uncertainty.
  • 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

  • Tumor-normal-calling, classifying variants as somatic in tumor, somatic in normal, germline, or absent.
  • Generic, grammar based calling, allowing to classify arbitrary scenarios.

For details, see the homepage: https://varlociraptor.github.io