List of products by supplier: INFN - CATANIA

Showing 1 - 12 of 12 items
  • AutoDock Vina is an open-source software for doing molecular docking.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the WS-PGRADE portal
    6. Click on “Get started now”.

  • Block Storage is a block-level storage solution that allows you to expand the storage capacity of your instances in the EGI Federated Cloud. This means you can increase your storage without increasing the size or capacity of your instance or by provisioning new ones.

    Once you mount and format your drive, you can use it just like a regular hard drive attached to your server. Or you can detach your block storage volume from one server and attach it to another. Or you can delete your server, keeping your data intact and ready for the next time you need it.

  • Chispter is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. Users can save and share automatic analysis workflows, and visualize data interactively using a built-in genome browser and many other visualizations.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the FGSG portal.
    6. Select the applications you want to run from the “Applications” menu.
  • The Training Infrastructure offers cloud compute and online storage for training activities. It is useful to organise onsite tutorials or workshops and online training courses or as a platform for self­-paced learning.

    For example, with the Training Infrastructure trainers can create and deploy any custom virtual machine images for the students.

  • Optimised instance for computing tasks.

    Features:

    • High performance CPU cores
    • Until 64 CPU cores
    • Real CPU cores (non- overcommitted)
    • Low latency network
    • Reserved instances

    Ideal for:

    • Batch computing
    • High-performance applications and web services
    • Distributed analysis
    • Video encoding

  • Optimised instance for computing tasks.

    Features:

    • High performance CPU cores
    • Until 64 CPU cores
    • Real CPU cores (non- overcommitted)
    • Low latency network
    • Reserved instances

    Ideal for:

    • Batch computing
    • High-performance applications and web services
    • Distributed analysis
    • Video encoding

  • Base performance instance type.

    Features:

    • Accessible in opportunistic or reserved ways
    • CPU cores could be overcommitted

    Ideal for:

    • Web services
    • Micro-services
    • Development environments
    • Building server
    • Small database
    • Test environments
  • Base performance instance type.

    Features:

    • Accessible in opportunistic or reserved ways
    • CPU cores could be overcommitted

    Ideal for:

    • Web services
    • Micro-services
    • Development environments
    • Building server
    • Small database
    • Test environments
  • Optimised instances for tasks that require more memory relative to virtual CPUs.

    Features:

    • High amount of RAM per CPU core.
    • Up to 240 GB of RAM in total.
    • Reserved instances

    Ideal for:

    • Running in-memory database
    • Running in-memory stores (e.g. redis, memcached)
    • In-memory big data processing engines (e.g. Apache Spark).
  • Optimised instances for tasks that require more memory relative to virtual CPUs.

    Features:

    • High amount of RAM per CPU core
    • Up to 240 GB of RAM in total
    • Reserved instances

    Ideal for:

    • Running in-memory database
    • Running in-memory stores (e.g. redis, memcached)
    • In-memory big data processing engines (e.g. Apache Spark)
  • Object storage manages data as objects. Each object includes the data itself, a variable amount of metadata, and a globally unique identifier.

    Cloud object storage allows relatively inexpensive, scalable and self-healing retention of massive amounts of unstructured data.

  • The RStudio for Statistical Computing (v1.1.456) is a language and environment for statistical computing and graphics.

    To access the application:

    1. Add the application to the cart.
    2. Go to the cart and submit your order.
    3. You will receive an email summarising your order.
    4. You need to wait until your request is approved.
    5. When you receive email confirmation of approval: go to the FGSG portal.
    6. Select the applications you want to run from the “Applications” menu.
Showing 1 - 12 of 12 items
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