Skip to main content


Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Figure 2 | BMC Evolutionary Biology

Figure 2

From: Predicting genome-wide redundancy using machine learning

Figure 2

The predicted depth of redundancy genome-wide. Genes are grouped into bins based on the number of paralogs with which they are predicted to be redundant. The first bin represents the number of genes that were predicted to have exactly one redundant paralog, using the cutoff of 0.4. The frequency distribution shows that most genes have relatively few predicted redundant duplicates.

Back to article page