Foodomics and Chemometrics software
Software for processing complex NMR metabolomics datasets and allow rapid and reliable conversion of raw spectra into an informative metabolite table plus software package for chemometric data analysis and visualization.
The Signature Mapping software (SigMa) is a stand-alone software for processing complex NMR metabolomics datasets and allow rapid and reliable conversion of raw spectra into an informative metabolite table.
SigMa offers a unique new approach in processing complex metabolomics data, and will be used intensively in the future research in the foodomics research group. SigMa is constantly being developed, and we invite you to follow and contribute on the project’s Github page (see below), where you can also find the software installation files and instructions on how to use. The author of the program has also made a series of instructional videos, that demonstrates the installation and use of the program, which you can find links too below as well.
The operational details of SigMa is described in the research paper “Signature Mapping (SigMa): An efficient approach for processing complex human urine 1H NMR metabolomics data” by Khakimov et. al, in Analytica Chimica Acta (118), 2020,https://doi.org/10.1016/j.aca.2020.02.025. Further information and questions about SigMa can be directed to Associate Professor Bekzod Khakimov, bzo@food.ku.dk.
SigMa instruction videos, Part 1
LatentiX is a stand-alone software package for chemometric data analysis and visualization. The software is intuitive and easy to use, and contains example data sets and instructions on how to get started.
The software is used for teaching and research at the Department of Food Science at the University of Copenhagen (UCPH FOOD), as well as in the industry – it has found relevance for all levels of teaching and research. In the free version, you can do Principal Component Analysis and a restricted number of pre-processing methods. To get access to the full range of analysis- and calibration methods (for instance Partial Least Squares regression), you need a licence key. To learn more about the program or licencing, contact info@latentix.comor follow the instructions in the program.
Contact
Bekzod Khakimov
Associate professor
bzo@food.ku.dk