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Use when working with DeepRVAT — a deep learning framework for rare variant association testing (RVAT) that learns gene-level embeddings from rare variant annotations using an auto-encoder, then tests
Use with AI
Install the MCP server or CLI to instantly fetch DeepRVAT documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/deeprvat
GATK VQSR (Variant Quality Score Recalibration) — machine learning-based variant filtering for GATK Best Practices germline pipelines. Trains a Gaussian mixture model on truth/training resource datase
3 shared topics • 1 shared operation
MSIsensor2 detects microsatellite instability (MSI) in tumor-only sequencing data using machine learning — no paired normal sample required. Supports whole-exome sequencing (WES), whole-genome sequenc
3 shared topics • 1 shared operation
Use when working with NanoCaller for SNP and short indel calling from long-read sequencing alignments (Oxford Nanopore and PacBio). NanoCaller combines haplotype-aware deep neural network SNP calling
3 shared topics • 1 shared operation
Tools and workflows for accessing, querying, and analyzing data from the 1000 Genomes Project (1KGP) — the largest public catalog of human genetic variation with whole-genome sequences from 3,202 indi
2 shared topics • 2 shared operations
GATK (Genome Analysis Toolkit) — the industry-standard framework for variant discovery in high-throughput sequencing data. Covers the gatk command-line wrapper, Java/JVM tuning, resource bundle manage
2 shared topics • 2 shared operations