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

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

doi:10.1093/bioadv/vbae100

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

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

Authors

Matthias Mattanovich^{1

2}, Viktor Hesselberg-Thomsen¹, Annette Lien¹, Dovydas Vaitkus¹, Victoria Sara Saad¹, Douglas McCloskey^{1

3}

Affiliations

¹ Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, 2800, Denmark.
² Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, 2200, Denmark.
³ BioMed X Institute, Artificial Intelligence, Heidelberg, Baden-Württemberg, 69120, Germany.

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.