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arXiv · 2304.07178

Shu: Visualization of high dimensional biological pathways

Jorge Carrasco Muriel·Nicholas Cowie·Marjan Mansouvar·Teddy Groves·Lars Keld Nielsen
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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. 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.

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Jorge Carrasco Muriel, Nicholas Cowie, Marjan Mansouvar, Teddy Groves, Lars Keld Nielsen. 2023-04-14. Shu: Visualization of high dimensional biological pathways. https://doi.org/10.1093/bioinformatics%2Fbtae140

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