BlueSTARR workflow

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    "accession": "IGVFWF3101OPAH",
    "analysis_steps": [
        {
            "@id": "/analysis-steps/IGVFWF3101OPAH-bluestarr-training-prediction-step/",
            "analysis_step_types": [
                "computational model training",
                "computational model prediction"
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                {
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                            "software": {
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                                "status": "released",
                                "title": "BlueSTARR"
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                            "status": "released"
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                    "status": "released"
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                            "software": {
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                                "status": "released",
                                "title": "BlueSTARR"
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                            "status": "in progress"
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                    ],
                    "status": "in progress"
                }
            ],
            "input_content_types": [
                "elements reference",
                "edge weights",
                "graph structure"
            ],
            "output_content_types": [
                "variant effects"
            ],
            "status": "released",
            "title": "BlueSTARR training and prediction step"
        }
    ],
    "audit": {},
    "award": {
        "@id": "/awards/HG011967/",
        "component": "predictive modeling"
    },
    "creation_timestamp": "2025-02-03T21:57:06.363806+00:00",
    "lab": {
        "@id": "/labs/andrew-allen/",
        "title": "Andrew Allen, Duke"
    },
    "name": "BlueSTARR workflow",
    "release_timestamp": "2025-02-07T18:39:11.744488+00:00",
    "schema_version": "5",
    "source_url": "https://github.com/bmajoros/BlueSTARR",
    "status": "released",
    "submitted_by": {
        "@id": "/users/a2b75182-21bc-4f2b-a090-3394feeca1be/",
        "title": "Shengcheng Dong"
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    "uuid": "62f06523-12f1-440a-ab44-d114c20d2404",
    "workflow_version": 1
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