Description of Common Platforms Discussed at AIMPF

The platforms currently involved in the data management system include:

• Seven Bridges (SB)

• Amazon Web Services (AWS)

• Google Cloud Platform (GCP)

A final platform, not currently in use, but is considered to be a potential data store is HyperThought (HT).

Seven Bridges (SB)

The official site is at: https://www.sevenbridges.com/platform/

There is a pretty comprehensive description of Seven Bridges Genomics on the official website: https://docs.sevenbridges.com/docs/about-the-seven-bridges-platform

Seven Bridges Genomics is a cloud-based platform that provides a suite of tools for analysis. The platform is built on top of the Seven Bridges API, which allows users to interact with the platform programmatically. The platform provides a number of tools for data management, including the ability to upload, download, and share data. The platform also provides a number of tools for data analysis, including the ability to run bioinformatics pipelines and workflows.

• Background: Seven Bridges Genomics was founded in 2009 with the goal of democratizing access to bioinformatics tools and genomic data analysis. The company’s platform aims to accelerate genomics research and precision medicine initiatives by providing scalable and efficient solutions for data analysis.

• Platform: Seven Bridges Genomics offers a cloud-based platform called the Seven Bridges Platform. This platform enables researchers and organizations to analyze, manage, and share genomic data securely and efficiently. It provides a range of tools and workflows for tasks such as variant calling, RNA sequencing analysis, and genome assembly.

• Scalability: The Seven Bridges Platform is designed to handle large-scale genomic datasets, making it suitable for projects of varying sizes, from small research studies to large-scale genomics initiatives. The platform leverages cloud computing resources to provide scalability and flexibility in data analysis.

• Collaboration: The platform facilitates collaboration among researchers and organizations by providing tools for sharing data, workflows, and results securely. This collaborative approach aims to accelerate scientific discovery and foster innovation in genomics research.

• Applications: Seven Bridges Genomics serves a range of industries and applications, including academic research, pharmaceutical development, and clinical diagnostics. The platform is used for tasks such as genomic data analysis, biomarker discovery, and personalized medicine initiatives.

Overall, Seven Bridges Genomics plays a significant role in advancing genomic research and precision medicine by providing accessible and scalable solutions for analyzing and managing genomic data.

Amazon Web Services (AWS)

The official site is at: https://aws.amazon.com/

Amazon Web Services (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments on a metered pay-as-you-go basis. Here’s some basic information about AWS:

• Founding and Ownership: AWS was officially launched in 2006, leveraging Amazon’s existing infrastructure that had been built to handle its own e-commerce operations. AWS is a subsidiary of Amazon.com, Inc., one of the largest technology companies in the world.

• Services: AWS offers a vast array of cloud computing services across categories such as compute, storage, databases, machine learning, analytics, networking, security, and more. Some of its key services include Amazon EC2 (Elastic Compute Cloud) for virtual servers, Amazon S3 (Simple Storage Service) for scalable object storage, Amazon RDS (Relational Database Service) for managed databases, Amazon Redshift for data warehousing, and Amazon SageMaker for machine learning.

• Global Infrastructure: AWS operates a global network of data centers, referred to as Availability Zones (AZs), located in multiple geographic regions around the world. Each region consists of multiple AZs, which are isolated data centers with independent power, cooling, and networking.

• Scalability and Flexibility: AWS is designed to provide scalable, flexible, and reliable cloud computing solutions. Users can easily scale their resources up or down based on demand, and they have access to a wide range of services to meet various use cases and requirements.

• Pay-As-You-Go Pricing Model: AWS operates on a pay-as-you-go pricing model, meaning customers only pay for the services and resources they use, with no long-term contracts or upfront commitments required. This allows for cost-effective access to computing resources and enables businesses to align their costs with their usage.

• Security and Compliance: AWS places a strong emphasis on security and compliance, providing a wide range of security features and compliance certifications to help customers meet their security and regulatory requirements.

• Market Dominance: AWS is one of the leading cloud service providers globally, with a significant market share in the cloud computing industry. It serves millions of customers, ranging from startups and small businesses to large enterprises and government agencies.

Overall, AWS has played a pivotal role in driving the adoption of cloud computing technology and continues to innovate with new services and features to meet the evolving needs of its customers.

Google Cloud Platform (GCP)

The official site is at: https://cloud.google.com/

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. Here’s some basic information about GCP:

• Founding and Ownership: Google Cloud Platform was officially launched by Google in 2008, although it expanded significantly in subsequent years. It is part of Google Cloud, a division of Alphabet Inc., the parent company of Google.

• Services: GCP offers a wide range of cloud computing services across various categories, including compute, storage, databases, networking, machine learning, big data, and developer tools. Some key services include Google Compute Engine for virtual machines, Google Cloud Storage for scalable object storage, Google BigQuery for managed data warehousing, Google Kubernetes Engine for container orchestration, and Google Cloud AI for machine learning and artificial intelligence.

• Global Infrastructure: GCP operates a global network of data centers, referred to as regions and zones, located in multiple geographic locations around the world. Each region consists of multiple zones, which are isolated data centers within the region with independent power, cooling, and networking.

• Scalability and Flexibility: Similar to other cloud providers, GCP offers scalable and flexible cloud computing solutions, allowing users to easily scale their resources up or down based on demand. It provides a wide range of services to meet various use cases and requirements, with a focus on performance, reliability, and innovation.

• Pay-As-You-Go Pricing Model: GCP operates on a pay-as-you-go pricing model, where customers only pay for the services and resources they use, with no long-term contracts or upfront commitments required. This allows for cost-effective access to computing resources and enables businesses to align their costs with their usage.

• Security and Compliance: GCP places a strong emphasis on security and compliance, providing a wide range of security features, tools, and certifications to help customers secure their workloads and meet their regulatory requirements.

• Market Position: While AWS and Microsoft Azure are the leading cloud service providers in terms of market share, GCP has been growing rapidly and is considered one of the top players in the cloud computing industry. It serves millions of customers worldwide, including startups, enterprises, and government organizations.

Overall, Google Cloud Platform offers a comprehensive set of cloud computing services and tools, backed by Google’s expertise in infrastructure, data analytics, and machine learning, making it a popular choice for organizations looking to leverage the cloud for their business needs.

HyperThought (HT)

The official site is at: https://www.hyperthought.io/

Here is a brief description of HyperThought: https://www.wpafb.af.mil/News/Article-Display/Article/1123859/hyperthought-poised-to-break-down-barriers-in-information-sharing/

HyperThought is a cloud-based platform that provides a suite of tools for data management, analysis, and collaboration. The platform is designed to support a wide range of data-intensive applications, including bioinformatics, genomics, and machine learning. HyperThought offers a number of features for managing and analyzing large datasets, including the ability to upload, download, and share data, as well as tools for running data analysis pipelines and workflows.

HyperThought is a total collaborative platform designed for the rapid collection of scientific data and the discovery of information. This web-based tool can be seamlessly implemented in various contexts, including scientific research, commercial environments, and educational settings. The best part? It’s usually up and running within just an hour or two.

Please note that Hyperthought is one of many available data stores, having it’s own pros and cons to consider based on the needs of AIMPF. Accessing HyperThought may have specific conditions and restrictions, especially if it’s related to U.S. Government (USG) use. For instance, the USG routinely monitors communications on this platform for purposes such as penetration testing, network operations, and defense. Additionally, data stored on HyperThought may be inspected by the USG at any time.