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Introduction to the CLC Genomics Cloud
Overview of CLC Genomics Cloud
CLC Genomics Cloud requirements
Contact information
Installing the CLC Cloud Module
Licensing modules
Uninstalling modules
Installing the Cloud Server Plugin
Setting up CLC Genomics Cloud resources on AWS
Setting up AWS resources
Adding more AWS Batch queues for CLC jobs
Adding more AWS IAM users
Deleting or redeploying CLC Genomics Cloud infrastructure on AWS
Using a CLC Workbench to work on the cloud
Prerequisites for working on the cloud using a Workbench
Configuring an AWS Connection in the Workbench
Submitting analyses to AWS from a Workbench
Working with AWS S3 using the Remote Files tab
Accessing results from the Processes tab
Using a CLC Server to work on the cloud
Benefits of submitting jobs via a CLC Server
AWS Connections in the CLC Server
Configuring cloud presets
Browse AWS S3 locations
Submitting workflows to the cloud via a CLC Server using a CLC Workbench
Submitting workflows to the cloud using the CLC Server Command Line Tools
Integrating third party tools into CLC software
Installing external applications in a CLC Workbench
General information about inputs and results
General information about input data for cloud analyses
Reference data for analyses on the cloud
Using locally held data for analyses on AWS S3
General information about outputs from cloud analyses
Monitoring and reviewing CLC cloud jobs
Using a CLC Workbench to monitor and review cloud jobs
Using a CLC Server to monitor and review cloud jobs
Using the AWS Console to monitor and review cloud jobs
Appendix
Standard AWS Batch queues for CLC Genomics Cloud
AWS Batch queues, compute environments, AMIs and images
System file retention policies
Making custom plugins available for cloud analyses
Appendix
Subsections
Standard AWS Batch queues for CLC Genomics Cloud
AWS Batch queues, compute environments, AMIs and images
System file retention policies
Making custom plugins available for cloud analyses