MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data

Tzanakis K, Nattkemper TW, Niehaus K, Albaum S (2022)
BMC Bioinformatics 23(1): 267.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
**Background**
Modern mass spectrometry has revolutionized the detection and analysis of metabolites but likewise, let the data skyrocket with repositories for metabolomics data filling up with thousands of datasets. While there are many software tools for the analysis of individual experiments with a few to dozens of chromatograms, we see a demand for a contemporary software solution capable of processing and analyzing hundreds or even thousands of experiments in an integrative manner with standardized workflows. **Results**
Here, we introduce MetHoS as an automated web-based software platform for the processing, storage and analysis of great amounts of mass spectrometry-based metabolomics data sets originating from different metabolomics studies. MetHoS is based on Big Data frameworks to enable parallel processing, distributed storage and distributed analysis of even larger data sets across clusters of computers in a highly scalable manner. It has been designed to allow the processing and analysis of any amount of experiments and samples in an integrative manner. In order to demonstrate the capabilities of MetHoS, thousands of experiments were downloaded from the MetaboLights database and used to perform a large-scale processing, storage and statistical analysis in a proof-of-concept study.
Erscheinungsjahr
2022
Zeitschriftentitel
BMC Bioinformatics
Band
23
Ausgabe
1
Art.-Nr.
267
eISSN
1471-2105
Page URI
https://pub.uni-bielefeld.de/record/2964311

Zitieren

Tzanakis K, Nattkemper TW, Niehaus K, Albaum S. MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinformatics. 2022;23(1): 267.
Tzanakis, K., Nattkemper, T. W., Niehaus, K., & Albaum, S. (2022). MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinformatics, 23(1), 267. https://doi.org/10.1186/s12859-022-04793-w
Tzanakis, K., Nattkemper, T. W., Niehaus, K., and Albaum, S. (2022). MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinformatics 23:267.
Tzanakis, K., et al., 2022. MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinformatics, 23(1): 267.
K. Tzanakis, et al., “MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data”, BMC Bioinformatics, vol. 23, 2022, : 267.
Tzanakis, K., Nattkemper, T.W., Niehaus, K., Albaum, S.: MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinformatics. 23, : 267 (2022).
Tzanakis, Konstantinos, Nattkemper, Tim Wilhelm, Niehaus, Karsten, and Albaum, Stefan. “MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data”. BMC Bioinformatics 23.1 (2022): 267.
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