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234 Teams found
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EuroScienceGateway will leverage a distributed computing network across 13 European countries, accessible via 6 national, user-friendly web portals, facilitating access to compute and storage infrastructures across Europe as well as to data, tools, workflows and services that can be customized to suit researchers’ needs.EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open infrastructure for data-driven research, contributing an innovative and customizable service for ...

Space: Independent Teams

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Start date: 1st Oct 2022

End date: 31st Aug 2025

In recent years, convolutional neural network (CNN)-based methods have shown remarkable performance in the denoising and reconstruction of super-resolved structured illumination microscopy (SR-SIM) data. Therefore, CNN-based architectures have been the main focus of existing studies. Recently, however, an alternative and highly competitive deep learning architecture, Swin Transformer, has been proposed for image restoration tasks. In this work, we present SwinT-fairSIM, a novel method for restoring ...

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Space: This Team is not associated with a Space

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Presentations and events associated with work in FAIR Guiding Principles for Computational Workflows.

Projects from the FAME team

This team is for sharing Galaxy workflows , GA-VirReport and GA-VirReport-Stats which can be used for processing sRNAseq data of host plants for diagnosis of viruses and viroids

Space: Independent Teams

Public web page: Not specified

Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.

  • Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
  • Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
  • Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
  • Scalable: Galaxy ...

Workflows for Galaxy Climate

Space: Independent Teams

Public web page: Not specified

The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.

These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!

Space: Galaxy

Public web page:

Start date: 1st Sep 2017

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