This workflow has been created as part of Demonstrator 6 of EOSC-Life 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.
Type: Unrecognized workflow type
Submitter: Beatriz Serrano-Solano
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.
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.