Shu: visualization of high-dimensional biological pathways

Abstract 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...

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Bibliographic Details
Published in:Bioinformatics (Oxford, England) England), 2024-03, Vol.40 (3)
Main Authors: Carrasco Muriel, Jorge, Cowie, Nicholas, Taylor Parkins, Shannara, Mansouvar, Marjan, Groves, Teddy, Nielsen, Lars Keld
Format: Article
Language:English
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Summary:Abstract 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. In addition, 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 application is deployed at https://biosustain.github.io/shu.
ISSN:1367-4811
1367-4811
DOI:10.1093/bioinformatics/btae140