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In this review, we update the picture of chromatin-based fungal SM cluster regulation and highlight similarities and differences between individual clusters within the same organism and between species.
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This illustrates that if we look at gene expression rather than gene presence, differences between individuals from different phenotypic clusters become larger.
Due to the possible differences between individual and group effects in magnitudes or even direction, we need to take the clustered data structure into account when phrasing research questions, analyzing the data, and interpreting the results.
We noticed even starker differences between individual countries.
The differences between individual descriptor sets are small.
The differences between individual fish were even higher.
Differences between individual items were analyzed additionally.
High individual differences between individual animals were however observed.
The between-mouse variance component reflects differences between individual mice.
Visual inspection revealed no striking differences of the binding patterns between the individual clusters for more than 5 clusters.
For example, epigenomic protein domain clustering could be used to identify differences between individuals within the same species, and expression profile protein domain clustering could be used to identify and characterize different cell types within the same organism.
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