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传镜像后，在医疗智能体平台搭建NGS流程，执行分析作业及批量执行NGS分析。 新型冠状病毒（COVID-19）虚拟药物筛选 本最佳实践介绍如何使用EIhealth平台虚拟药物筛选功能，通过获取示例数据，创建药物虚拟筛选任务并查看结果。
项目 项目是EIHealth平台的一个工作空间，可以在项目中存储数据，上传镜像和创建分析作业。也可以将团队成员引入到项目中，并通过划分角色实现项目权限的划分。 项目管理是以项目为粒度对数据、分析作业、开发环境和镜像进行分组。以便用户通过项目进行资源的访问、共享和协作。 父主题： EIHealth平台
完整描述文本 labels: # 可选 # 标签 - labelA - labelB timeout: 1440 # 可选 # 流程超时时间，取值范围[1,144000]，单位分钟，默认1440
完整描述文本 labels: # 可选 # 标签 - labelA - labelB image: 'xxxx' # 必选 # 镜像地址 commands:
"summary", "description" : "description", "labels" : [ "labelA", "labelB" ], "create_time" : "2021-01-30T02:34:36Z", "update_time" :
project -d "详细描述" -s "简要描述" -o "/data/output" -t 2000 -l "labelA;labelB" # 返回结果如下 edit workflow succeed! 父主题： EIHealth流程管理命令
"demo-workflow", "description" : "description", "labels" : [ "labelA", "labelB" ], "create_time" : "2021-01-30T02:34:36Z", "update_time" :
"summary", "description" : "description", "labels" : [ "labelA", "labelB" ], "create_time" : "2021-01-30T02:34:36Z", "update_time" :
activate py37 conda install -n py37 pandas 安装完成后，返回Notebook,然后使用新软件包。 参考信息 如何修复 “conda: command not found”? 当terminal第二次打开时，环境变量将被清理，因此我们需要再次初始化Anaconda配置。
"demo-workflow", "description" : "description", "labels" : [ "labelA", "labelB" ], "create_time" : "2021-01-30T02:34:36Z", "update_time" : "2021-01-30T02:53:26Z"
"demo-workflow", "description" : "description", "labels" : "labelA,labelB", "workflow_file" : "(binary)", "main_file" : "main.nf" } 响应示例 状态码：
app-name:version:srcproject -d "详细描述" -s "简要描述" -c "fastqc" -l "labelA;labelB" # 返回结果如下 edit app succeed! 父主题： 应用管理命令
"demo-job", "description" : "description", "labels" : "labelA,labelB", "workflow_id" : "caadcb56-5bb6-11eb-8a0d-fa163e3ddba1" } 响应示例 状态码：
"demo-job", "description" : "description", "labels" : [ "labelA", "labelB" ], "status" : "COMPLETED", "has_ignore_failed_tasks" : false,
63e3ddba1", "name" : "demo-job", "labels" : [ "labelA", "labelB" ], "status" : "FINISHED", "type" : "OPTIMIZATION", "create_time"
63e3ddba1", "name" : "demo-job", "labels" : [ "labelA", "labelB" ], "status" : "FINISHED", "type" : "SEARCH", "create_time"
"summary", "description" : "description", "labels" : [ "labelA", "labelB" ], "timeout" : 1440, "output_dir" : "/workflow", "tasks" : [ {
e3ddba1", "name" : "demo-job", "labels" : [ "labelA", "labelB" ], "status" : "FINISHED", "type" : "OPTIMIZATION", "create_time"
e3ddba1", "name" : "demo-job", "labels" : [ "labelA", "labelB" ], "status" : "FINISHED", "type" : "CLUSTERING", "create_time"
"demo-job", "description" : "description", "labels" : [ "labelA", "labelB" ], "priority" : 0, "timeout" : 1440, "status" : "SUCCEEDED"
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