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

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

PMC · DOI: 10.1093/bioadv/vbae100 · Bioinformatics Advances · 2024-07-04

## TL;DR

INCAWrapper is a Python tool that simplifies using INCA for metabolic flux analysis in data science workflows.

## Contribution

INCAWrapper provides a Python interface for INCA, enabling seamless integration into automated workflows.

## Key findings

- INCAWrapper allows INCA to be used purely through Python.
- It facilitates data import, export, and processing for metabolic flux analysis.
- The tool is freely available under an MIT License.

## Abstract

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.

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

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.

## Full-text entities

- **Diseases:** cancer (MESH:D009369)
- **Chemicals:** MFA (-), deuterium (MESH:D003903), nitrogen (MESH:D009584), carbon (MESH:D002244), 13C (MESH:C000615229)

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC11245311/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC11245311/full.md

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Source: https://tomesphere.com/paper/PMC11245311