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bioRxiv · 10.1101/742684

Analysing complex metagenomic data with MicroWineBar

Klincke, F.·Abel-Kistrup, M.·Saerens, S. M. G.·Rasmussen, S.
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Abstract

An important step in metagenomics studies is to identify which species are present in a sample as well as to compare samples from different environments. Here we introduce MicroWineBar, a graphical tool for analyzing and comparing metagenomics samples. MicroWineBar can visualize the abundances of metagenomics samples in line and bar graphs, as well as analyse the richness and diversity. For a PCA as well as a differential abundance analysis, the abundance data is treated as compositional data and center log-ratio transformed. We use MicroWineBar to analyse two different years of wine fermentation as well as data from a human microbiome study of colorectal cancer. Importantly, MicroWineBar does not require any programming skills, is intuitive and user friendly. MicroWineBar is available at https://github.com/klincke/MicroWineBar and as a python package from the Python Package Index.

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Klincke, F., Abel-Kistrup, M., Saerens, S. M. G., Rasmussen, S.. 2019-08-21. Analysing complex metagenomic data with MicroWineBar. https://doi.org/10.1101/742684

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