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数据与复现
agent-browser
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数据与复现
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deepvariant
维护者 FreedomIntelligence · 最近更新 2026年4月1日
deepvariant.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/deepvariant
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- docker pull google/deepvariant：1.6.1-gpu。
- 用于 bam in *.bam；do sample=$(basename $bam.bam) docker run -v "${PWD}：/data" google/deepvariant：1.6.1 \ /opt/deepvariant/bin/run_deepvariant \ --model_type=WGS \ --ref=/data/reference.fa \ --reads=/data/$bam \ --output_vcf=/data/${sample}.vcf.gz \ --output_gvcf=/data/${sample}.g.vcf.gz \ --num_shards=16 done。
原始文档
SKILL.md 摘录
Docker (Recommended)
docker pull google/deepvariant:1.6.1
## Model Types
| Model | Data Type | Use Case |
|-------|-----------|----------|
| `WGS` | Illumina WGS | Whole genome sequencing |
| `WES` | Illumina WES | Whole exome/targeted |
| `PACBIO` | PacBio HiFi | Long-read HiFi |
| `ONT_R104` | ONT R10.4 | Oxford Nanopore |
| `HYBRID_PACBIO_ILLUMINA` | Mixed | Hybrid assemblies |
## Step-by-Step Workflow
For more control, run each step separately:
适用场景
- Use deepvariant ，用于 genomics 、 bioinformatics workflows。
- Apply deepvariant to sequencing，variant，或 omics analysis tasks。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
上游相关技能
- variant-calling/gatk-variant-calling - GATK alternative
- variant-calling/variant-calling - bcftools calling
- long-read-sequencing/clair3-variants - Long-read alternative
- variant-calling/filtering-best-practices - Post-calling filtering
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