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Exporting HealthOmics read sets to an Amazon S3 bucket

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Exporting HealthOmics read sets to an Amazon S3 bucket - AWS HealthOmics
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You can export read sets as a batch export job to an Amazon S3 bucket. To do so, first create an IAM policy that has write access to the bucket, similar to the following IAM policy example.

{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:PutObject", "s3:GetBucketLocation" ], "Resource": [ "arn:aws:s3:::amzn-s3-demo-bucket1", "arn:aws:s3:::amzn-s3-demo-bucket1/*" ] } ] }
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": [ "omics.amazonaws.com" ] }, "Action": "sts:AssumeRole" } ] }

After the IAM policy is in place, begin your read set export job. The following example shows you how to do this by using the start-read-set-export-job API operation. In the following example, replace all parameters, such as sequence store ID, destination , role ARN, and sources, with your input.

aws omics start-read-set-export-job --sequence-store-id sequence store id \ --destination valid s3 uri \ --role-arn role ARN \ --sources readSetId=read set id_1 readSetId=read set id_2

You receive the following response with information on the origin sequence store and the destination Amazon S3 bucket.

{ "id": <job-id>, "sequenceStoreId": <sequence-store-id>, "destination": <destination-s3-uri>, "status": "SUBMITTED", "creationTime": "2022-10-22T01:33:38.079000+00:00" }

After the job starts, you can determine its status by using the get-read-set-export-job API operation, as shown in the following. Replace the sequence store ID and job ID with your sequence store ID and job ID, respectively.

aws omics get-read-set-export-job --id job-id --sequence-store-id sequence store ID

You can view all export jobs initialized for a sequence store by using the list-read-set-export-jobs API operation, as shown in the following. Replace the sequence store ID with your sequence store ID.

aws omics list-read-set-export-jobs --sequence-store-id sequence store ID.
{ "exportJobs": [ { "id": <job-id>, "sequenceStoreId": <sequence-store-id>, "destination": <destination-s3-uri>, "status": "COMPLETED", "creationTime": "2022-10-22T01:33:38.079000+00:00", "completionTime": "2022-10-22T01:34:28.941000+00:00" } ] }

In addition to exporting your read sets, you can also share them by using the Amazon S3 access URIs. To learn more, see Accessing HealthOmics read sets with Amazon S3 URIs.

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