Visualizing 'omic feature rankings and log-ratios using Qurro

摘要: Abstract Many tools for dealing with compositional “’omics” data produce feature-wise values that can be ranked in order to describe features’ associations some sort of variation. These include differentials (which specified covariates) and feature loadings variation along a given axis biplot). Although prior work has discussed the use these “rankings” as starting point exploring log-ratios particularly high-or low-ranked features, such exploratory analyses have previously been done using custom code visualize rankings interest. This approach is laborious, prone errors, raises questions about reproducibility. To address problems we introduce Qurro, tool interactively visualizes plot (a “rank plot”) alongside selected within samples “sample plot”). Qurro’s interface includes various controls allow users select features from rank compute log-ratio; this action updates both (through highlighting features) sample displaying current samples). Here demonstrate how unique helps explore simply effectively.