deepvariant-caller

Solid

DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# DeepVariant Caller Skill ## Purpose Enable DeepVariant deep learning variant calling for high-accuracy SNV and indel detection. ## Capabilities - GPU-accelerated variant calling - WGS/WES/PacBio mode selection - Model customization and retraining - Confidence calibration - Multi-sample variant calling - Docker/Singularity deployment ## Usage Guidelines - Select appropriate model for sequencing type - Use GPU acceleration when available - Validate accuracy against benchmark datasets - Consider container deployment for reproducibility - Document model version and parameters - Compare with traditional callers for validation ## Dependencies - DeepVariant - Parabricks ## Process Integration - Whole Genome Sequencing Pipeline (wgs-analysis-pipeline) - Long-Read Sequencing Analysis (long-read-analysis) - Analysis Pipeline Validation (pipeline-validation)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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