Shannara Taylor Parkins
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Articles (5)
Shu: visualization of high-dimensional biological pathways
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.
Year:
2024
Collaborators (6)
Milou Arts
Royal Netherlands Institute for Sea Research
Swathi Murthy
Assistant Professor
University of Copenhagen
Pascale Daran-Lapujade
Full Professor
Delft University of Technology
Pablo Ivan Nikel
Technical University of Denmark
Lars Keld Nielsen
University of Queensland
Jean-Marc G. Daran
Delft University of Technology

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