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.
CITATION STYLE
Muriel, J. C., Cowie, N., Parkins, S. T., Mansouvar, M., Groves, T., & Nielsen, L. K. (2024). Shu: visualization of high-dimensional biological pathways. Bioinformatics, 40(3). https://doi.org/10.1093/bioinformatics/btae140
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