open access publication

Article, 2024

Shu: visualization of high-dimensional biological pathways

Bioinformatics, ISSN 1367-4803, 1367-4811, Volume 40, 3, 10.1093/bioinformatics/btae140

Contributors

Muriel J.C. 0000-0001-7365-0299 (Corresponding author) [1] Cowie N. [1] Parkins S.T. [1] Mansouvar M. [2] Groves T. 0000-0002-7109-3270 [1] Nielsen L.K. 0000-0001-8191-3511 [3]

Affiliations

  1. [1] Technical University of Denmark
  2. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Technical University of Denmark
  4. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Queensland
  6. [NORA names: Australia; Oceania; OECD]

Abstract

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.

Funders

  • Novo Nordisk Fonden

Data Provider: Elsevier