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Open AccessArticle

BALSAM—An Interactive Online Platform for Breath Analysis, Visualization and Classification

1
Department of Mathematics and Computer Science (IMADA), University of Southern Denmark, 5230 Odense M, Denmark
2
LipiTUM Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
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Big Data in BioMedicine Group, Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
4
Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany
*
Author to whom correspondence should be addressed.
Metabolites 2020, 10(10), 393; https://doi.org/10.3390/metabo10100393
Received: 28 August 2020 / Revised: 28 September 2020 / Accepted: 30 September 2020 / Published: 2 October 2020
(This article belongs to the Special Issue Computational Strategies in Metabolite Research)
The field of breath analysis lacks a fully automated analysis platform that enforces machine learning good practice and enables clinicians and clinical researchers to rapidly and reproducibly discover metabolite patterns in diseases. We present BALSAM—a comprehensive web-platform to simplify and automate this process, offering features for preprocessing, peak detection, feature extraction, visualization and pattern discovery. Our main focus is on data from multi-capillary-column ion-mobility-spectrometry. While not limited to breath data, BALSAM was developed to increase consistency and robustness in the data analysis process of breath samples, aiming to expand the array of low cost molecular diagnostics in clinics. Our platform is freely available as a web-service and in form of a publicly available docker container. View Full-Text
Keywords: breath analysis; machine learning; metabolite discovery; data-mining; metabolomics; biomarker; web-platform breath analysis; machine learning; metabolite discovery; data-mining; metabolomics; biomarker; web-platform
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MDPI and ACS Style

Weber, P.; Pauling, J.K.; List, M.; Baumbach, J. BALSAM—An Interactive Online Platform for Breath Analysis, Visualization and Classification. Metabolites 2020, 10, 393.

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