Shu: Visualization of high dimensional biological pathways
Fuente:
arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866910355626655744 |
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| author | Muriel, Jorge Carrasco Cowie, Nicholas Mansouvar, Marjan Groves, Teddy Nielsen, Lars Keld |
| author_facet | Muriel, Jorge Carrasco Cowie, Nicholas Mansouvar, Marjan Groves, Teddy Nielsen, Lars Keld |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2304_07178 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Shu: Visualization of high dimensional biological pathways Muriel, Jorge Carrasco Cowie, Nicholas Mansouvar, Marjan Groves, Teddy Nielsen, Lars Keld Molecular Networks 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. |
| title | Shu: Visualization of high dimensional biological pathways |
| topic | Molecular Networks |
| url | https://arxiv.org/abs/2304.07178 |