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1 month ago

AWS HealthOmics introduces a Kiro Power and Kiro IDE extension for bioinformatics workflow development AWS HealthOmics announces a https://kiro.dev/powers/ and Kiro IDE extension to create, run, debug, and optimize HealthOmics workflows faster with AI agent-assisted development. With the HealthOmics extension for Kiro IDE, customers can create, modify, and analyze workflows in domain-specific languages including Nextflow and WDL directly in the Kiro interface. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. Kiro Powers is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. The Kiro Power for HealthOmics packages the HealthOmics MCP server with guidance, giving the Kiro agent expertise in HealthOmics workflow creation and optimization. The HealthOmics Kiro IDE extension provides syntax highlighting, code completion, and troubleshooting guidance, along with HealthOmics engine compatibility checking, performance optimization recommendations, automated run analysis with failure diagnostics, and workflow import/export capabilities. To get started, download and install the HealthOmics Kiro Power from https://kiro.dev/powers/ and HealthOmics Kiro IDE extension from https://open-vsx.org/extension/amazonwebservices/aws-healthomics-extension.

AWS HealthOmics introduces a Kiro Power and Kiro IDE extension for bioinformatics workflow development

AWS HealthOmics announces a https://kiro.dev/powers/ and Kiro IDE extension to create, run, debug, and optimize HealthOmics workflows faster with AI agent-assisted developmen...

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1 month ago

AWS HealthOmics introduces a Kiro Power and Kiro IDE extension for bioinformatics workflow development AWS HealthOmics announces a Kiro Power and Kiro IDE extension to create, run, debug, and optimize HealthOmics workflows faster with AI agent-assisted development. With the HealthOmics extension for Kiro IDE, customers can create, modify, and analyze workflows in domain-specific languages including Nextflow and WDL directly in the Kiro interface. AWS HealthOmics is a HIPAA-eligible service that helps accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. Kiro Powers is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and agent hooks to accelerate specialized software development and deployment use cases. The Kiro Power for HealthOmics packages the HealthOmics MCP server with guidance, giving the Kiro agent expertise in HealthOmics workflow creation and optimization. The HealthOmics Kiro IDE extension provides syntax highlighting, code completion, and troubleshooting guidance, along with HealthOmics engine compatibility checking, performance optimization recommendations, automated run analysis with failure diagnostics, and workflow import/export capabilities. To get started, download and install the HealthOmics Kiro Power from https://kiro.dev/powers/ and HealthOmics Kiro IDE extension from Open VSX Registry.

🆕 AWS HealthOmics adds Kiro Power and IDE extension for faster AI-assisted bioinformatics workflow development. Supports Nextflow and WDL, offers syntax highlighting, code completion, and automated run analysis. Download from kiro.dev and Open VSX Registry.

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3 months ago

Improved AWS Health event triage AWS Health now includes two new properties in its event schema - actionability and persona - enabling customers to identify the most relevant events. These properties allow organizations to programmatically identify events requiring customer action and direct them to relevant teams. The enhanced event schema is accessible through both the AWS Health API and Health EventBridge communication channels, improving operational efficiency and team coordination. AWS customers receive various operational notifications and scheduled changes, including Planned Lifecycle Events. With the new actionability property, teams can quickly distinguish between events requiring action and those shared for awareness. The persona property streamlines event routing and visibility to specific teams like security and billing, ensuring critical information reaches appropriate stakeholders. These structured properties streamline integration with existing operational tools, allowing teams to effectively identify and remediate affected resources while maintaining appropriate visibility across the organization. This enhancement is available across all AWS Commercial and AWS GovCloud (US) Regions. To learn more about implementing these new properties, see the AWS Health https://docs.aws.amazon.com/health/latest/ug/aws-health-concepts-and-terms.html and the https://docs.aws.amazon.com/health/latest/APIReference/Welcome.html and https://docs.aws.amazon.com/health/latest/ug/aws-health-events-eventbridge-schema.html schema documentation.

Improved AWS Health event triage

AWS Health now includes two new properties in its event schema - actionability and persona - enabling customers to identify the most relevant events. These properties allow organizations to programmatically identify e...

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3 months ago

Improved AWS Health event triage AWS Health now includes two new properties in its event schema - actionability and persona - enabling customers to identify the most relevant events. These properties allow organizations to programmatically identify events requiring customer action and direct them to relevant teams. The enhanced event schema is accessible through both the AWS Health API and Health EventBridge communication channels, improving operational efficiency and team coordination. AWS customers receive various operational notifications and scheduled changes, including Planned Lifecycle Events. With the new actionability property, teams can quickly distinguish between events requiring action and those shared for awareness. The persona property streamlines event routing and visibility to specific teams like security and billing, ensuring critical information reaches appropriate stakeholders. These structured properties streamline integration with existing operational tools, allowing teams to effectively identify and remediate affected resources while maintaining appropriate visibility across the organization. This enhancement is available across all AWS Commercial and AWS GovCloud (US) Regions. To learn more about implementing these new properties, see the AWS Health User Guide and the API and EventBridge schema documentation.

🆕 AWS Health enhances event schema with actionability and persona properties, routing relevant events to teams for better efficiency. Available globally; see AWS Health User Guide for details.

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4 months ago

AWS Health enhances Amazon EventBridge to give more flexibility and higher resilience Customers using Amazon EventBridge can now setup rules for AWS Health events with multi-region redundancy, or choose a simplified path by creating a single rule to capture all Health events. With this enhancement, Health sends all events simultaneously to US West (Oregon) as well as the individual region of impact. For more information customers can go to https://docs.aws.amazon.com/health/latest/ug/choosing-a-region.html. Sending Health events to two regions gives customers an option to increase the resilience of their integration by creating a backup rule. US West (Oregon) is the backup for all regions in commercial partition, while US East (N. Virginia) is the backup for US West (Oregon). Plus, this change also enables a simplified integration path, where customers can now setup a single rule in US West (Oregon) to capture all Health events from across commercial partition, as opposed to needing to configure rules in individual regions. Customers now have greater flexibility in their integration approach for receiving Health events. This update is available in all AWS regions. In China, all Health events get delivered simultaneously to both China (Beijing) and China (Ningxia). In AWS GovCloud (US), all Health events get delivered to AWS GovCloud (US-West) and AWS GovCloud (US-East).

AWS Health enhances Amazon EventBridge to give more flexibility and higher resilience

Customers using Amazon EventBridge can now setup rules for AWS Health events with multi-region redundancy, or choose a simplified path by creating a single rule to capture all ...

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4 months ago

AWS Health enhances Amazon EventBridge to give more flexibility and higher resilience Customers using Amazon EventBridge can now setup rules for AWS Health events with multi-region redundancy, or choose a simplified path by creating a single rule to capture all Health events. With this enhancement, Health sends all events simultaneously to US West (Oregon) as well as the individual region of impact. For more information customers can go to Creating EventBridge rules for AWS Region coverage. Sending Health events to two regions gives customers an option to increase the resilience of their integration by creating a backup rule. US West (Oregon) is the backup for all regions in commercial partition, while US East (N. Virginia) is the backup for US West (Oregon). Plus, this change also enables a simplified integration path, where customers can now setup a single rule in US West (Oregon) to capture all Health events from across commercial partition, as opposed to needing to configure rules in individual regions. Customers now have greater flexibility in their integration approach for receiving Health events. This update is available in all AWS regions. In China, all Health events get delivered simultaneously to both China (Beijing) and China (Ningxia). In AWS GovCloud (US), all Health events get delivered to AWS GovCloud (US-West) and AWS GovCloud (US-East).

🆕 AWS Health now enhances Amazon EventBridge with multi-region redundancy for flexibility and resilience, allowing customers to create a single rule to capture all events, improving integration and backup options. Available in all regions.

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6 months ago

AWS HealthOmics is now available in Asia Pacific (Seoul) Region Today, AWS announces that AWS HealthOmics private workflows are now available in the Asia Pacific (Seoul) Region, expanding access to fully managed bioinformatics workflows for healthcare and life sciences customers in Korea. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed bioinformatics workflows. HealthOmics enables customers to focus on scientific discovery rather than infrastructure management, reducing time to value for research, drug discovery, and agriculture science initiatives. With private workflows, customers can build and scale genomics data analysis pipelines using familiar domain-specific languages including Nextflow, WDL, and CWL. The service provides built-in features such as call caching to resume runs, dynamic run storage that automatically scales with run storage needs, Git integrations for version-controlled workflow development, and third-party container registry support through Amazon ECR pull-through cache. These capabilities make it easier to migrate existing pipelines and accelerate development of new genomics workflows while maintaining full data provenance and compliance requirements. Private workflows are now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), Asia Pacific (Singapore), and Asia Pacific (Seoul). To get started, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics is now available in Asia Pacific (Seoul) Region

Today, AWS announces that AWS HealthOmics private workflows are now available in the Asia Pacific (Seoul) Region, expanding access to fully managed bioinformatics workflows for healthcare and life sciences custome...

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6 months ago

AWS HealthOmics is now available in Asia Pacific (Seoul) Region Today, AWS announces that AWS HealthOmics private workflows are now available in the Asia Pacific (Seoul) Region, expanding access to fully managed bioinformatics workflows for healthcare and life sciences customers in Korea. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed bioinformatics workflows. HealthOmics enables customers to focus on scientific discovery rather than infrastructure management, reducing time to value for research, drug discovery, and agriculture science initiatives. With private workflows, customers can build and scale genomics data analysis pipelines using familiar domain-specific languages including Nextflow, WDL, and CWL. The service provides built-in features such as call caching to resume runs, dynamic run storage that automatically scales with run storage needs, Git integrations for version-controlled workflow development, and third-party container registry support through Amazon ECR pull-through cache. These capabilities make it easier to migrate existing pipelines and accelerate development of new genomics workflows while maintaining full data provenance and compliance requirements. Private workflows are now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), Asia Pacific (Singapore), and Asia Pacific (Seoul). To get started, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics now available in Asia Pacific (Seoul) for genomics data analysis, offering private workflows with Nextflow, WDL, CWL, and compliance features to accelerate scientific breakthroughs.

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6 months ago

AWS HealthOmics now supports third-party container registries for private workflows AWS HealthOmics introduces support for third-party container registries, enabled through Amazon Elastic Container Registry (ECR) pull-through cache, along with URI remapping rules for automatic translation of third-party container URIs to ECR URIs. This enhancement enables AWS HealthOmics customers to more easily access containerized tools from popular third-party registries without needing to manually migrate them to private ECR repositories, or make changes to the workflow definition. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The ECR pull-through cache capability allows bioinformatics teams to automatically retrieve and cache containers from popular registries including Amazon ECR Public, Docker Hub, Quay, GitHub Container Registry, GitLab Container Registry, Kubernetes container image registry, and Microsoft Azure Container Registry. This helps customers accelerate workflow development and execution by eliminating manual container synchronization tasks. Additionally, the new container URI remapping feature automatically translates third-party registry references in workflow definitions to corresponding private ECR URIs using customer-defined mapping rules, eliminating the need to manually update workflow definitions when migrating workflows. ECR pull-through cache and container URI remapping features are now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about these new features and how to implement them in your workflows, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics now supports third-party container registries for private workflows

AWS HealthOmics introduces support for third-party container registries, enabled through Amazon Elastic Container Registry (ECR) pull-through cache, along with URI remapping rules for automatic...

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6 months ago

AWS HealthOmics now supports third-party container registries for private workflows AWS HealthOmics introduces support for third-party container registries, enabled through Amazon Elastic Container Registry (ECR) pull-through cache, along with URI remapping rules for automatic translation of third-party container URIs to ECR URIs. This enhancement enables AWS HealthOmics customers to more easily access containerized tools from popular third-party registries without needing to manually migrate them to private ECR repositories, or make changes to the workflow definition. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The ECR pull-through cache capability allows bioinformatics teams to automatically retrieve and cache containers from popular registries including Amazon ECR Public, Docker Hub, Quay, GitHub Container Registry, GitLab Container Registry, Kubernetes container image registry, and Microsoft Azure Container Registry. This helps customers accelerate workflow development and execution by eliminating manual container synchronization tasks. Additionally, the new container URI remapping feature automatically translates third-party registry references in workflow definitions to corresponding private ECR URIs using customer-defined mapping rules, eliminating the need to manually update workflow definitions when migrating workflows. ECR pull-through cache and container URI remapping features are now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about these new features and how to implement them in your workflows, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics now supports third-party container registries via ECR pull-through cache and URI remapping, enabling easier access to bioinformatics tools without manual migration, available in all regions where AWS HealthOmics operates.

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6 months ago

AWS HealthOmics now supports task level timeout controls for Nextflow workflows AWS HealthOmics introduces support for the Nextflow time directive, which enables customers to set task level timeout controls to limit run duration for specific tasks. With this launch, customers can now set fine-grained controls for their Nextflow workflow tasks to enable automated run cancellation if specific tasks take longer than expected. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The Nextflow time directive is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about workflows and the Nextflow time directive support, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics now supports task level timeout controls for Nextflow workflows

AWS HealthOmics introduces support for the Nextflow time directive, which enables customers to set task level timeout controls to limit run duration for specific tasks. With this launch, customers ...

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6 months ago

AWS HealthOmics now supports task level timeout controls for Nextflow workflows AWS HealthOmics introduces support for the Nextflow time directive, which enables customers to set task level timeout controls to limit run duration for specific tasks. With this launch, customers can now set fine-grained controls for their Nextflow workflow tasks to enable automated run cancellation if specific tasks take longer than expected. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The Nextflow time directive is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about workflows and the Nextflow time directive support, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics now supports task-level timeout controls for Nextflow workflows, enabling fine-grained task management and automated run cancellation. Available in multiple regions. For details, see AWS HealthOmics documentation.

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8 months ago

AWS HealthOmics announces automatic input parameter interpolation for Nextflow workflows Today, AWS HealthOmics introduces automatic interpolation of input parameters for Nextflow private workflows, eliminating the need for manual parameter template creation. This enhancement intelligently identifies and extracts both required and optional input parameters directly from workflow definitions, along with their descriptions. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. With this new feature, customers can launch bioinformatics workflows more quickly since they no longer need to manually identify, define, and validate each workflow parameter. This also helps reduce configuration errors that can occur when parameters are incorrectly specified or omitted. For specialized requirements, customers can still provide custom parameter templates to override the automatically generated configurations. Input parameter interpolation for Nextflow workflows is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). Automatic parameter interpolation is already supported for WDL and CWL workflows today. To learn more about automatic parameter interpolation and how to build private workflows, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics announces automatic input parameter interpolation for Nextflow workflows

Today, AWS HealthOmics introduces automatic interpolation of input parameters for Nextflow private workflows, eliminating the need for manual parameter template crea...

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8 months ago

AWS HealthOmics announces automatic input parameter interpolation for Nextflow workflows Today, AWS HealthOmics introduces automatic interpolation of input parameters for Nextflow private workflows, eliminating the need for manual parameter template creation. This enhancement intelligently identifies and extracts both required and optional input parameters directly from workflow definitions, along with their descriptions. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. With this new feature, customers can launch bioinformatics workflows more quickly since they no longer need to manually identify, define, and validate each workflow parameter. This also helps reduce configuration errors that can occur when parameters are incorrectly specified or omitted. For specialized requirements, customers can still provide custom parameter templates to override the automatically generated configurations. Input parameter interpolation for Nextflow workflows is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). Automatic parameter interpolation is already supported for WDL and CWL workflows today. To learn more about automatic parameter interpolation and how to build private workflows, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics automates Nextflow workflow parameter interpolation, cutting manual setup and errors. Available in multiple regions, it supports private workflows and is part of a HIPAA-eligible service for life sciences.

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9 months ago

AWS HealthOmics now supports automatic detection of WDL workflow parameters Today, AWS HealthOmics announces automatic parameter interpolation for Workflow Description Language (WDL) workflows to help streamline the workflow creation process. This new capability automatically identifies and extracts required and optional parameters along with their descriptions directly from WDL workflow definitions, eliminating the need for customers to manually create input parameter templates. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. Removing the need to define parameters simplifies and accelerates building and deploying bioinformatics workflows. Customers can now onboard new WDL workflows more rapidly while retaining complete flexibility through optional customization. For organizations with extensive WDL workflow libraries, this feature significantly reduces the time required to migrate or deploy new workflows. Additionally, HealthOmics customers still maintain full control by providing custom input parameter templates when needed to override the automatic interpolation. Input parameter interpolation for WDL workflows is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about automatic parameter interpolation and how to implement WDL workflows, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics now supports automatic detection of WDL workflow parameters

Today, AWS HealthOmics announces automatic parameter interpolation for Workflow Description Language (WDL) workflows to help streamline the workflow creation process. This new capability automatically ...

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9 months ago

AWS HealthOmics now supports automatic detection of WDL workflow parameters Today, AWS HealthOmics announces automatic parameter interpolation for Workflow Description Language (WDL) workflows to help streamline the workflow creation process. This new capability automatically identifies and extracts required and optional parameters along with their descriptions directly from WDL workflow definitions, eliminating the need for customers to manually create input parameter templates. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. Removing the need to define parameters simplifies and accelerates building and deploying bioinformatics workflows. Customers can now onboard new WDL workflows more rapidly while retaining complete flexibility through optional customization. For organizations with extensive WDL workflow libraries, this feature significantly reduces the time required to migrate or deploy new workflows. Additionally, HealthOmics customers still maintain full control by providing custom input parameter templates when needed to override the automatic interpolation. Input parameter interpolation for WDL workflows is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about automatic parameter interpolation and how to implement WDL workflows, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics now supports automatic WDL workflow parameter detection, streamlining creation and deployment, reducing manual input, and simplifying migration. Available in multiple regions. For details, see AWS HealthOmics documentation.

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10 months ago

AWS HealthOmics now supports output mapping files for CWL workflows Today, AWS HealthOmics announces enhancements to its Common Workflow Language (CWL) support by automatically generating comprehensive outputs.json mapping files for every workflow run. With this launch, HealthOmics now provides researchers and bioinformaticians with a complete catalog of all outputs generated by workflow runs along with their precise locations in Amazon S3. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The new output mapping capability simplifies downstream process automation and validation of run outputs, enabling more efficient data analysis pipelines. Customers can now easily track and access all workflow results without manual tracking or custom parsing scripts, saving time and reducing the possibility of errors when working with complex, multi-step bioinformatics workflows at scale. CWL output mapping files are now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about AWS HealthOmics and this new feature, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics now supports output mapping files for CWL workflows

Today, AWS HealthOmics announces enhancements to its Common Workflow Language (CWL) support by automatically generating comprehensive outputs.json mapping files for every workflow run. W...

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10 months ago

AWS HealthOmics now supports output mapping files for CWL workflows Today, AWS HealthOmics announces enhancements to its Common Workflow Language (CWL) support by automatically generating comprehensive outputs.json mapping files for every workflow run. With this launch, HealthOmics now provides researchers and bioinformaticians with a complete catalog of all outputs generated by workflow runs along with their precise locations in Amazon S3. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. The new output mapping capability simplifies downstream process automation and validation of run outputs, enabling more efficient data analysis pipelines. Customers can now easily track and access all workflow results without manual tracking or custom parsing scripts, saving time and reducing the possibility of errors when working with complex, multi-step bioinformatics workflows at scale. CWL output mapping files are now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To learn more about AWS HealthOmics and this new feature, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics now supports CWL workflow output mapping files, simplifying data tracking and reducing errors in bioinformatics. Available in multiple regions, it generates outputs.json files for every run, aiding efficient data analysis pipelines.

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10 months ago

AWS HealthOmics announces workflow versioning support AWS HealthOmics now supports workflow versioning, enabling customers to manage multiple versions of their bioinformatics workflows efficiently. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. With this release, workflow developers can create and maintain multiple versions of their workflows while retaining consistent workflow IDs and base ARNs across versions. With workflow versioning, users can select specific workflow versions when starting a run, enabling better control and reproducibility of their analyses. This simplifies collaboration by automatically sharing new workflow versions with existing subscribers, eliminating the need for manual resharing and ensuring teams always have access to the latest workflow iterations. Workflow versioning is supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started with workflow versioning, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics announces workflow versioning support

AWS HealthOmics now supports workflow versioning, enabling customers to manage multiple versions of their bioinformatics workflows efficiently. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service th...

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10 months ago

AWS HealthOmics announces workflow versioning support AWS HealthOmics now supports workflow versioning, enabling customers to manage multiple versions of their bioinformatics workflows efficiently. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. With this release, workflow developers can create and maintain multiple versions of their workflows while retaining consistent workflow IDs and base ARNs across versions. With workflow versioning, users can select specific workflow versions when starting a run, enabling better control and reproducibility of their analyses. This simplifies collaboration by automatically sharing new workflow versions with existing subscribers, eliminating the need for manual resharing and ensuring teams always have access to the latest workflow iterations. Workflow versioning is supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started with workflow versioning, see the AWS HealthOmics documentation.

🆕 AWS HealthOmics now supports workflow versioning, allowing users to manage multiple workflow versions efficiently, ensuring consistent IDs and ARNs, and simplifying collaboration across regions. For details, see the AWS HealthOmics documentation.

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11 months ago

AWS HealthOmics now supports Elastic Throughput for dynamic run storage Today, we are excited to announce throughput improvements to dynamic run storage for AWS HealthOmics. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. Dynamic run storage automatically scales storage capacity based on workflow needs. With this release, dynamic run storage now also scales throughput using Elastic Throughput mode on Amazon Elastic File System. This feature is recommended for runs requiring faster start times, workflows with unpredictable storage requirements, and iterative development cycles, helping research teams reduce time-to-insight for time-sensitive genomic analyses. Dynamic run storage with elastic throughput is now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore) and Israel (Tel Aviv). To get started with dynamic run storage, see the https://docs.aws.amazon.com/omics/latest/dev/workflows-run-types.html.

AWS HealthOmics now supports Elastic Throughput for dynamic run storage

Today, we are excited to announce throughput improvements to dynamic run storage for AWS HealthOmics. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that hel...

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11 months ago

AWS HealthOmics now supports Elastic Throughput for dynamic run storage Today, we are excited to announce throughput improvements to dynamic run storage for AWS HealthOmics. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. Dynamic run storage automatically scales storage capacity based on workflow needs. With this release, dynamic run storage now also scales throughput using Elastic Throughput mode on Amazon Elastic File System. This feature is recommended for runs requiring faster start times, workflows with unpredictable storage requirements, and iterative development cycles, helping research teams reduce time-to-insight for time-sensitive genomic analyses. Dynamic run storage with elastic throughput is now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore) and Israel (Tel Aviv). To get started with dynamic run storage, see the documentation.

🆕 AWS HealthOmics now supports Elastic Throughput for dynamic run storage, scaling storage capacity and throughput on Amazon EFS, aiding faster genomic analysis and reducing time-to-insight for research teams. Available in multiple regions.

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1 year ago

AWS HealthOmics workflows now support NVIDIA L4 and L40S GPUs and expanded CPU options AWS HealthOmics now supports the latest NVIDIA L4 and L40S graphical processing units (GPUs) and larger compute options of up to 192 vCPUs for workflows. https://aws.amazon.com/healthomics/ is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. This release expands workflow compute capabilities to support more demanding workloads for genomics research and analysis. In addition to current support for NVIDIA A10G and T4 GPUs, this release adds support for NVIDIA L4 and L40S GPUs, which enables researchers to efficiently run complex machine learning workloads such as protein structure prediction and biological foundation models (bioFMs). The enhanced CPU configurations with up to 192 vCPUs and 1,536 GiB of memory allows for faster processing of large-scale genomics datasets. These improvements help research teams reduce time-to-insight for critical life sciences work. NVIDIA L4 and L40S GPUs and 128 and 192 vCPU omics instance types are now available in: US East (N. Virginia) and US West (Oregon). To get started with AWS HealthOmics workflows, see the https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html.

AWS HealthOmics workflows now support NVIDIA L4 and L40S GPUs and expanded CPU options

AWS HealthOmics now supports the latest NVIDIA L4 and L40S graphical processing units (GPUs) and larger compute options of up to 192 vCPUs for workflows. https://aws.a

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1 year ago

AWS HealthOmics workflows now support NVIDIA L4 and L40S GPUs and expanded CPU options AWS HealthOmics now supports the latest NVIDIA L4 and L40S graphical processing units (GPUs) and larger compute options of up to 192 vCPUs for workflows. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed biological data stores and workflows. This release expands workflow compute capabilities to support more demanding workloads for genomics research and analysis. In addition to current support for NVIDIA A10G and T4 GPUs, this release adds support for NVIDIA L4 and L40S GPUs, which enables researchers to efficiently run complex machine learning workloads such as protein structure prediction and biological foundation models (bioFMs). The enhanced CPU configurations with up to 192 vCPUs and 1,536 GiB of memory allows for faster processing of large-scale genomics datasets. These improvements help research teams reduce time-to-insight for critical life sciences work. NVIDIA L4 and L40S GPUs and 128 and 192 vCPU omics instance types are now available in: US East (N. Virginia) and US West (Oregon). To get started with AWS HealthOmics workflows, see the documentation.

🆕 AWS HealthOmics now supports NVIDIA L4 and L40S GPUs, plus up to 192 vCPUs for genomics research, enhancing compute capabilities and accelerating scientific breakthroughs. Available in US East and West regions.

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1 year ago

AWS Health now supports Internet Protocol Version 6 (IPv6) AWS Health customers can now use Internet Protocol version 6 (IPv6) addresses, via our new dual-stack endpoints to view operational issues or planned lifecycle events for all accounts and resources in your organization. The existing Health endpoints supporting IPv4 will remain available for backwards compatibility. The urgency to transition to Internet Protocol version 6 (IPv6) is driven by the continued growth of internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. With simultaneous support for both IPv4 and IPv6 clients on Health endpoints, you are able to gradually transition from IPv4 to IPv6 based systems and applications, without needing to switch all over at once. This enables you to meet IPv6 compliance requirements and removes the need for expensive networking equipment to handle the address translation between IPv4 and IPv6. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on https://docs.aws.amazon.com/whitepapers/latest/ipv6-on-aws/internet-protocol-version-6.html in AWS. Support for IPv6 on AWS Health is available in all commercial regions. To learn more, please refer to the https://docs.aws.amazon.com/health/latest/ug/health-api.html.

AWS Health now supports Internet Protocol Version 6 (IPv6)

AWS Health customers can now use Internet Protocol version 6 (IPv6) addresses, via our new dual-stack endpoints to view operational issues or planned lifecycle events for all accounts and resources in your organization...

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1 year ago

AWS Health now supports Internet Protocol Version 6 (IPv6) AWS Health customers can now use Internet Protocol version 6 (IPv6) addresses, via our new dual-stack endpoints to view operational issues or planned lifecycle events for all accounts and resources in your organization. The existing Health endpoints supporting IPv4 will remain available for backwards compatibility. The urgency to transition to Internet Protocol version 6 (IPv6) is driven by the continued growth of internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. With simultaneous support for both IPv4 and IPv6 clients on Health endpoints, you are able to gradually transition from IPv4 to IPv6 based systems and applications, without needing to switch all over at once. This enables you to meet IPv6 compliance requirements and removes the need for expensive networking equipment to handle the address translation between IPv4 and IPv6. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on AWS Health is available in all commercial regions. To learn more, please refer to the user guide.

🆕 AWS Health now supports Internet Protocol Version 6 (IPv6)

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AWS News(Unofficial)

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1 year ago

Announcing general availability of AWS Managed Notifications Amazon Web Services (AWS) is announcing the general availability of AWS Managed Notifications, a new feature of AWS User Notifications that enhances how customers receive and manage AWS Health notifications. This feature allows you to view and modify default AWS Health notifications in the Console Notifications Center, alongside your custom notifications such as CloudWatch alarms. A dedicated user interface is now available to manage notification subscriptions, including the ability to unsubscribe the primary or alternate contact emails from specific notification categories like 'Operational events'. You can easily subscribe to Health Notifications through additional delivery channels. Supported channels include push notifications to the AWS Console Mobile App, AWS Chatbot (for Slack and Microsoft Teams integrations), and email. Configuring and viewing notifications in the Console Notifications Center is offered at no additional cost. This new capability is available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where AWS User Notifications is available. For more information, visit the https://aws.amazon.com/notifications/ product page and https://docs.aws.amazon.com/notifications/latest/userguide/what-is-service.html. To get started, go to the https://console.aws.amazon.com/notifications/home#/notifications.

Announcing general availability of AWS Managed Notifications

Amazon Web Services (AWS) is announcing the general availability of AWS Managed Notifications, a new feature of AWS User Notifications that enhances how customers receive and manage AWS Health notif...

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1 year ago

Announcing general availability of AWS Managed Notifications Amazon Web Services (AWS) is announcing the general availability of AWS Managed Notifications, a new feature of AWS User Notifications that enhances how customers receive and manage AWS Health notifications. This feature allows you to view and modify default AWS Health notifications in the Console Notifications Center, alongside your custom notifications such as CloudWatch alarms. A dedicated user interface is now available to manage notification subscriptions, including the ability to unsubscribe the primary or alternate contact emails from specific notification categories like 'Operational events'. You can easily subscribe to Health Notifications through additional delivery channels. Supported channels include push notifications to the AWS Console Mobile App, AWS Chatbot (for Slack and Microsoft Teams integrations), and email. Configuring and viewing notifications in the Console Notifications Center is offered at no additional cost. This new capability is available in all AWS Regions where AWS User Notifications is available. For more information, visit the AWS User Notifications product page and documentation. To get started, go to the Console Notifications Center.

🆕 Announcing general availability of AWS Managed Notifications

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AWS News(Unofficial)

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1 year ago

Announcing Cross Account Data Store Read Access for AWS HealthOmics We are excited to announce that https://aws.amazon.com/healthomics/ sequence stores now support cross account read access to simplify data sharing and tool integration. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can enable secure data sharing with partners, while maintaining auditability and compliance frameworks. Cross account reading for S3 API enables customers to write resource policies to manage sharing and restrict data reading based on their needs. Through the use of tag propagation and https://docs.aws.amazon.com/AmazonS3/latest/userguide/tagging-and-policies.html, users can create policies that share read access beyond their account while having a scalable mechanism to granularly restrict files based on their compliance structures. In addition, S3 access logs can be used to audit and validate access ensuring the data customers manage remains properly controlled. Cross account S3 API access is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started, see the AWS HealthOmics https://docs.aws.amazon.com/omics/latest/dev/sequence-stores.html

Announcing Cross Account Data Store Read Access for AWS HealthOmics

We are excited to announce that https://aws.amazon.com/healthomics/ sequence stores now support cross account read access to simplify data sharing and tool integration. AWS ...

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@awsrecentnews.bsky.social

1 year ago

Announcing Cross Account Data Store Read Access for AWS HealthOmics We are excited to announce that AWS HealthOmics sequence stores now support cross account read access to simplify data sharing and tool integration. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can enable secure data sharing with partners, while maintaining auditability and compliance frameworks. Cross account reading for S3 API enables customers to write resource policies to manage sharing and restrict data reading based on their needs. Through the use of tag propagation and tag-based access control, users can create policies that share read access beyond their account while having a scalable mechanism to granularly restrict files based on their compliance structures. In addition, S3 access logs can be used to audit and validate access ensuring the data customers manage remains properly controlled. Cross account S3 API access is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started, see the AWS HealthOmics documentation.

🆕 Announcing Cross Account Data Store Read Access for AWS HealthOmics

#AWS #AmazonOmics #AmazonMachineLearning #AwsHealth

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