Workflows

This workflow has been created as part of Demonstrator 6 of the project EOSC-Life (within WP3) and is focused on reusing publicly available RNAi screens to gain insights into the nucleolus biology. The workflow downloads images from the Image Data Resource (IDR), performs object segmentation (of nuclei and nucleoli) and feature extraction of the images and objects identified.

Tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html

Workflow for tracking objects in Cell Profiler: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/object-tracking-using-cell-profiler/tutorial.html

Galaxy version of pre-processing of reads from COVID-19 samples. QC + human read cleaning Based on https://github.com/Finn-Lab/Metagen-FastQC/blob/master/metagen-fastqc.sh

The workflow runs the RetroSynthesis algorithm to generate a collection of heterologous pathways in a host organism of choice, converts them to SBML files, performs analysis on the pathways to then rank the theoretical best performing ones.

Generate possible metabolic routes for the production of a target molecule in an organism of choice

This workflow converts the top-ranking predicted pathways from the "RetroSynthesis" and "Pathway Analysis" workflows to plasmids intended to be expressed in the specified organism

Given a set of pathways generated by RetroPath2.0, this workflow informs the user as to the theoretically best performing ones based on four criteria: FBA, thermodynamic feasibility, length of the pathway, and reaction rule score.