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

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2024-07-04 eCollection Date: 2024-01-01 DOI:10.1093/bioadv/vbae100
Matthias Mattanovich, Viktor Hesselberg-Thomsen, Annette Lien, Dovydas Vaitkus, Victoria Sara Saad, Douglas McCloskey
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引用次数: 0

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.

INCAWrapper:INCA 的 Python 封装器,用于无缝导入、导出和处理数据。
动机INCA 是一种强大的代谢通量分析工具,然而,数据和结果的导入和导出可能很繁琐,限制了 INCA 在自动化工作流中的使用:INCAWrapper可让用户纯粹通过Python使用INCA,从而在常见的数据科学工作流中使用INCA:INCAWrapper 使用 Python 实现,可在 https://github.com/biosustain/incawrapper 上找到。它在 MIT 许可下免费提供。要运行 INCA,用户需要自己的 MATLAB 和 INCA 许可证。INCA 可在 mfa.vueinnovations.com 免费用于非商业用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
0.00%
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