PT  - JOURNAL ARTICLE
AU  - Klincke, Franziska
AU  - Abel-Kistrup, Martin
AU  - Saerens, Sofie Maria Gilberte
AU  - Rasmussen, Simon
TI  - Analysing complex metagenomic data with MicroWineBar
AID  - 10.1101/742684
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 742684
4099  - http://biorxiv.org/content/early/2019/08/21/742684.short
4100  - http://biorxiv.org/content/early/2019/08/21/742684.full
AB  - 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.