本文属于机器翻译版本。若本译文内容与英语原文存在差异,则一律以英文原文为准。
在中激活读取集 HealthOmics
您可以激活使用 start-read-set-activation-job API 操作或通过存档的读取集 AWS CLI,如以下示例所示。将
和sequence
store ID
替换为您的序列存储 ID 和读取集 IDs。read set id
aws omics start-read-set-activation-job --sequence-store-id
\ --sources
sequence store ID
readSetId=read set ID
readSetId=read set id_1
read set id_2
您会收到一条包含激活任务信息的响应,如下所示。
{ "id": "12345678", "sequenceStoreId": "1234567890", "status": "SUBMITTED", "creationTime": "2022-10-22T00:50:54.670000+00:00" }
激活作业启动后,您可以使用 get-read-set-activation-job API 操作监控其进度。以下是如何使用 AWS CLI 来检查激活任务状态的示例。将
和job ID
分别替换为您的序列存储 ID 和作 IDs业。sequence
store ID
aws omics get-read-set-activation-job --id
--sequence-store-id
job ID
sequence store ID
响应汇总了激活作业,如下所示。
{ "id": 123567890, "sequenceStoreId": 123467890, "status": "SUBMITTED", "statusUpdateReason": "The job is submitted and will start soon.", "creationTime": "2022-10-22T00:50:54.670000+00:00", "sources": [ { "readSetId": <reads set id_1>, "status": "NOT_STARTED", "statusUpdateReason": "The source is queued for the job." }, { "readSetId": <read set id_2>, "status": "NOT_STARTED", "statusUpdateReason": "The source is queued for the job." } ] }
您可以通过 get-read-set-metadataAPI 操作检查激活任务的状态。可能的状态是ACTIVE
ACTIVATING
、和。ARCHIVED
在以下示例中,
替换为您的序列存储 ID,然后sequence store ID
替换为您的读取集 ID。read set ID
aws omics get-read-set-metadata --sequence-store-id
--id
sequence store ID
read set ID
以下响应显示读取集处于活动状态。
{ "id": "12345678", "arn": "arn:aws:omics:us-west-2:555555555555:sequenceStore/1234567890/readSet/12345678", "sequenceStoreId": "0123456789", "subjectId": "mySubject", "sampleId": "mySample", "status": "ACTIVE", "name": "HG00100", "description": "HG00100 aligned to HG38 BAM", "fileType": "BAM", "creationTime": "2022-07-13T23:25:20Z", "sequenceInformation": { "totalReadCount": 1513467, "totalBaseCount": 163454436, "generatedFrom": "Pulled from SRA", "alignment": "ALIGNED" }, "referenceArn": "arn:aws:omics:us-west-2:555555555555:referenceStore/0123456789/reference/0000000001", "files": { "source1": { "totalParts": 2, "partSize": 10485760, "contentLength": 17112283, "s3Access": { "s3Uri": "s3://accountID-sequence store ID-ajdpi90jdas90a79fh9a8ja98jdfa9jf98-s3alias/592761533288/sequenceStore/2015356892/readSet/9515444019/import_source1.fastq.gz" }, }, "index": { "totalParts": 1, "partSize": 53216, "contentLength": 10485760 "s3Access": { "s3Uri": "s3://accountID-sequence store ID-ajdpi90jdas90a79fh9a8ja98jdfa9jf98-s3alias/592761533288/sequenceStore/2015356892/readSet/9515444019/import_source1.fastq.gz" }, } }, "creationType": "IMPORT", "etag": { "algorithm": "BAM_MD5up", "source1": "d1d65429212d61d115bb19f510d4bd02" } }
您可以使用 list-read-set-activation-jobs 查看所有读取集激活作业,如以下示例所示。在以下示例中,
替换为您的序列存储 ID。sequence store
ID
aws omics list-read-set-activation-jobs --sequence-store-id
sequence store ID
您会收到以下回复。
{ "activationJobs": [ { "id": 1234657890, "sequenceStoreId": "1234567890", "status": "COMPLETED", "creationTime": "2022-10-22T01:33:38.079000+00:00", "completionTime": "2022-10-22T01:34:28.941000+00:00" } ] }