varlociraptor
| Crates.io | varlociraptor |
| lib.rs | varlociraptor |
| version | |
| source | src |
| created_at | 2019-05-09 19:08:59.46992 |
| updated_at | 2024-12-09 17:49:44.57426 |
| description | A library for calling of genomic variants using a latent variable model. |
| homepage | |
| repository | https://github.com/varlociraptor/varlociraptor |
| max_upload_size | |
| id | 133142 |
| Cargo.toml error: | TOML parse error at line 29, column 1 | 29 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
Johannes Köster (johanneskoester)
documentation
README
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