@@ -88,6 +88,7 @@ Launch _MSTclust_ without option to read the following documentation:
* By definition, setting small cutoff values yield clustering with a large number of classes with fast running times.
* Profile length is required to carry out data perturbation analyses (option `-L`). For each statistics, _MSTclust_ will compute the average value and the 95% CI based on different replicates (option `-R`).
* Data subsampling analyses progressively subsample raw data with rate values _b_/(_B_+1) where _b_ = 1 ... _B_ and _B_ > 1 is the number of bins specified using option `-B`. At least _B_ = 9 bins (i.e. rates = 10%, 20% ... 90%) are recommended. For each statistics, _MSTclust_ will compute the average value and the 95% CI based on different replicates (option `-R`).
* All of the information outputted by _MSTclust_ is printed in `stderr` except the last tab-delimited line when using option `-t`.
* For more details on the profile distance computation, clustering algorithm and descriptive statistics, see the technical notes pdf file.
