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INCA包装器:用于INCA的Python包装器,实现无缝数据导入、导出和处理。

INCAWrapper: a Python wrapper for INCA for seamless data import, -export, and -processing.

作者信息

Mattanovich Matthias, Hesselberg-Thomsen Viktor, Lien Annette, Vaitkus Dovydas, Saad Victoria Sara, McCloskey Douglas

机构信息

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, 2800, Denmark.

Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, 2200, Denmark.

出版信息

Bioinform Adv. 2024 Jul 4;4(1):vbae100. doi: 10.1093/bioadv/vbae100. eCollection 2024.

Abstract

MOTIVATION

INCA is a powerful tool for metabolic flux analysis, however, import and export of data and results can be tedious and limit the use of INCA in automated workflows.

RESULTS

The INCAWrapper enables the use of INCA purely through Python, which allows the use of INCA in common data science workflows.

AVAILABILITY AND IMPLEMENTATION

The INCAWrapper is implemented in Python and can be found at https://github.com/biosustain/incawrapper. It is freely available under an MIT License. To run INCA, the user needs their own MATLAB and INCA licenses. INCA is freely available for noncommercial use at mfa.vueinnovations.com.

摘要

动机

INCA是用于代谢通量分析的强大工具,然而,数据和结果的导入与导出可能很繁琐,限制了INCA在自动化工作流程中的使用。

结果

INCAWrapper使得能够完全通过Python使用INCA,这允许在常见的数据科学工作流程中使用INCA。

可用性与实现

INCAWrapper用Python实现,可在https://github.com/biosustain/incawrapper找到。它根据MIT许可免费提供。要运行INCA,用户需要自己的MATLAB和INCA许可证。INCA可在mfa.vueinnovations.com上免费用于非商业用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84b5/11245311/ec6f814c7b9e/vbae100f1.jpg

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