TMM Normalization

The following tools automatically perform library size normalization using the TMM (trimmed mean of M values) method of [Robinson and Oshlack, 2010]:

Additionally, TMM normalization is an option in the following tools:

For TMM normalization, a TMM factor is computed by comparing the samples against a reference sample. The reference is the sample that has the count-per-million upper quartile closest to the mean upper quartile.

TMM normalization adjusts library sizes based on the assumption that most genes are not differentially expressed. Therefore, it is important not to make subsets of the count data before doing statistical analysis or visualization, as this can lead to differences being normalized away.