Microbiome Toolbox: methodological approaches to derive and visualize microbiome trajectories

Abstract Motivation The gut microbiome changes rapidly under the influence of different factors such as age, dietary changes or medications to name just a few. To analyze and understand such changes, we present a Microbiome Toolbox. We implemented several methods for analysis and exploration to prov...

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Bibliographic Details
Published in:Bioinformatics (Oxford, England) England), 2023-01, Vol.39 (1)
Main Authors: Banjac, Jelena, Sprenger, Norbert, Dogra, Shaillay Kumar
Format: Article
Language:English
Subjects:
Anomalies
Applications Note
Availability
Bioinformatics
Data analysis
Data processing
Intestinal microflora
Metadata
Microbiomes
Microbiota
Python
Software
Source code
Statistical analysis
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Summary:Abstract Motivation The gut microbiome changes rapidly under the influence of different factors such as age, dietary changes or medications to name just a few. To analyze and understand such changes, we present a Microbiome Toolbox. We implemented several methods for analysis and exploration to provide interactive visualizations for easy comprehension and reporting of longitudinal microbiome data. Results Based on the abundance of microbiome features such as taxa as well as functional capacity modules, and with the corresponding metadata per sample, the Microbiome Toolbox includes methods for (i) data analysis and exploration, (ii) data preparation including dataset-specific preprocessing and transformation, (iii) best feature selection for log-ratio denominators, (iv) two-group analysis, (v) microbiome trajectory prediction with feature importance over time, (vi) spline and linear regression statistical analysis for testing universality across different groups and differentiation of two trajectories, (vii) longitudinal anomaly detection on the microbiome trajectory and (viii) simulated intervention to return anomaly back to a reference trajectory. Availability and implementation The software tools are open source and implemented in Python. For developers interested in additional functionality of the Microbiome Toolbox, it is modular allowing for further extension with custom methods and analysis. The code, python package and the link to the interactive dashboard of Microbiome Toolbox are available on GitHub https://github.com/JelenaBanjac/microbiome-toolbox Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4811
1367-4803
1367-4811
DOI:10.1093/bioinformatics/btac781