Summary: Shu is a visualization tool that integrates diverse data types into a metabolic map, with a focus on supporting multiple conditions and visualizing distributions. The goal is to provide a unified platform for handling the growing volume of multi-omics data, leveraging the metabolic maps developed by the metabolic modeling community. Additionally, shu offers a streamlined python API, based on the Grammar of Graphics, for easy integration with data pipelines. Availability and implementation: Freely available at https://github.com/biosustain/shu under MIT/Apache 2.0 license. Binaries are available in the release page of the repository and the web app is deployed at https://biosustain.github.io/shu.
@article{arxiv.2304.07178,
title = {Shu: Visualization of high dimensional biological pathways},
author = {Jorge Carrasco Muriel and Nicholas Cowie and Marjan Mansouvar and Teddy Groves and Lars Keld Nielsen},
journal= {arXiv preprint arXiv:2304.07178},
year = {2024}
}
Comments
3 pages, 1 figure, supplementary material at https://github.com/biosustain/shu_case_studies