Teams

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 ...

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 ...

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

A new approach to observation and modelling of the Earth System, Environment and Biodiversity. An easy way to visualise, analyse and process environmental data on-demand.

Projects from the FAME team

Fungal Genomics and Industrial Applications Lab

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

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 ...