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Jetstream2: Advanced Cloud Computing for Nanopore Sequencing

Jetstream2 is a cloud-based computing platform designed to provide researchers and educators with flexible, on-demand access to high-performance computing resources. It offers a user-friendly environment that simplifies data analysis, accelerates discovery, and enhances the availability of artificial intelligence (AI) tools across various scientific domains.

Bioinformatics

With training, anything is possible. That said, JetStream2 cloud resources require a fair bit of bioinformatics skill. Make use of their support and the Nanopore Network Slack community for help.

Introduction to Jetstream 2

Key Features of Jetstream2

  • Scalability: Jetstream2 delivers 8 petaFLOPS of virtual supercomputing power, allowing users to scale their computational resources according to project needs.

  • User-Friendly Interface: The platform provides an intuitive interface, enabling users to create virtual machines (VMs) that replicate your local computing environments.

  • Diverse Resource Allocation: Jetstream2 comprises four distinct resources:

  • Jetstream2 (CPU only): Standard computational tasks.
  • Jetstream2 Large Memory: Memory-intensive applications.
  • Jetstream2 GPU: Tasks requiring graphical processing units.
  • Jetstream2 Storage: Dedicated storage solutions.

Each resource is allocated individually, allowing users to tailor their environment to specific project requirements.

Advantages for Nanopore Sequencing

Nanopore sequencing generates substantial volumes of data and often requires intensive computational analysis. Jetstream2's infrastructure is particularly well-suited to meet these demands:

  • High-Performance Cloud Computing: The platform's substantial computational power accelerates data processing tasks such as basecalling, genome assembly, and variant analysis.

  • GPU Access: Jetstream2 offers access to GPU resources, which are essential for running advanced machine learning algorithms and accelerating specific bioinformatics applications. To utilize GPU instances, users must have explicit access to the Jetstream2-GPU resource.

  • Scalable Storage Solutions: With a default allocation of 1 TB of storage—expandable upon request—Jetstream2 efficiently manages the large datasets typical of Nanopore sequencing projects.

Getting Started with Jetstream2

To begin using Jetstream2, you will need an allocation (free) from NSF ACCESS-CI:

Utilize the Getting Started Guide for step-by-step instructions on accessing resources and creating your first VM instance.

For educators, ACCESS-CI offers educational allocations to support teaching initiatives. Detailed information on obtaining an allocation is available on the ACCESS-CI website. Once granted, these allocation credits can be applied to Jetstream2, providing access to its comprehensive computational resources.

By leveraging Jetstream2, researchers and educators can efficiently manage and analyze large-scale Nanopore sequencing data, facilitating advanced bioinformatics research and education.

Comments and discussion

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