TY - JOUR
T1 - INCAWrapper
T2 - a Python wrapper for INCA for seamless data import, -export, and -processing
AU - Mattanovich, Matthias
AU - Hesselberg-Thomsen, Viktor
AU - Lien, Annette
AU - Vaitkus, Dovydas
AU - Saad, Victoria Sara
AU - McCloskey, Douglas
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
U2 - 10.1093/bioadv/vbae100
DO - 10.1093/bioadv/vbae100
M3 - Journal article
C2 - 39006966
AN - SCOPUS:85198924784
SN - 2635-0041
VL - 4
JO - Bioinformatics Advances
JF - Bioinformatics Advances
IS - 1
M1 - vbae100
ER -