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将生物大模型、对接计算引擎与组学管线并排横向对比。按获取方式、硬件开销及细分领域灵活筛选，在一分钟内得出客观可辩护的技术选型方案。
| 技术参数指标 | ＋ 添加工具 | |
|---|---|---|
| Category | Research Cloud & Data Platforms | — |
| Subcategory | Cloud Genomics & Biomedical Data Platforms | — |
| Company | Broad Institute, Microsoft & Verily | — |
| Access mode | Pay-as-you-go Cloud Compute | — |
| Licence conditions | Open platform; users pay underlying cloud compute and storage costs | — |
| Compute requirements | Google Cloud Platform (GCP) or Microsoft Azure backend | — |
| Biological application | Population genomics, GWAS, clinical variant discovery, and multi-omics integration | — |
| Research workflow | Secure dataset cohort selection -> pipeline execution at cloud scale -> interactive statistical analysis | — |
| Evidence level | Infrastructure backbone for major international biomedical consortia | — |
| Commercial eligibility | Available for academic research and commercial organizations | — |
| Price | Free platform access — pay cloud infrastructure costs | — |
| Availability ⓘ | Available globally on Google Cloud and Microsoft Azure | — |
| Features | Direct secure access to controlled biomedical repositories (All of Us, BioData Catalyst, AnVIL), Scalable execution of WDL (Workflow Description Language) pipelines via Cromwell engine, Interactive Jupyter and RStudio cloud analysis environments, Strict biomedical compliance (FedRAMP, HIPAA, SOC 2) | — |
| Entry type | Cloud Platform | — |
| AI role | Workflow Execution & Data Governance | — |
| Input data | 未明确记录 | — |
| Output data | 未明确记录 | — |
| Validation | 未明确记录 | — |
| Type | Cloud biomedical analysis platform | — |
| Intended use | 未明确记录 | — |
| Compatibility | 未明确记录 | — |
| Manufacturer | Broad Institute of MIT and Harvard | — |
| Integration evidence | https://terra.bio | — |
| Laboratory handoff | Informs clinical trial cohort selection and genetic target validation | — |