Qurro: Quantitative Rank/Ratio Observations

Lots of tools for analyzing " 'omic" datasets can produce feature rankings. These rankings can be used as a guide to look at the log-ratios of certain features in a dataset. Qurro is a tool for visualizing and exploring both of these types of data.

What are feature rankings?

The term "feature rankings" includes differentials, which we define as the estimated log-fold changes for features' abundances across different sample types. You can get this sort of output from lots of "differential abundance" tools, including but definitely not limited to ALDEx2, Songbird, Corncob, DESeq2, edgeR, etc.

The term "feature rankings" also includes feature loadings in a biplot (see Aitchison and Greenacre 2002); you can get biplots from running DEICODE, which is a tool that works well with microbiome datasets, or from a variety of other methods.

Demos

See the Qurro website for a list of interactive demos using real datasets!

Screenshot: Visualizing KEGG orthologs in metagenomic data from the Red Sea

Screenshot showing a Qurro visualization of ranked features (which in this dataset correspond to KEGG orthologs) and a scatterplot plot of the log-ratio of certain features' abundances in samples. The data shown in this screenshot is associated with Thompson et al. 2017.

"Moving Pictures" tutorial, and other tutorials

In the style of the QIIME 2 and DEICODE moving pictures tutorials, Qurro has a moving pictures tutorial (showing how to use Qurro with DEICODE output in QIIME 2, and how to interact with the generated Qurro visualization) available here.

If you aren't working with DEICODE output, and/or if you'd prefer to use Qurro outside of QIIME 2, we have a few other Qurro tutorials available here.

Details, Acknowledgements, Citing Qurro, ...