Use this program to create a dendrogram from (a) a set of variables or (b) from a similarity matrix. The program calculates a similarity matrix (only for option a), transforms similarity coefficients into distances and makes a clustering using the Unweighted Pair Group Method with Arithmetic mean (UPGMA) algorithm.

For Option (a) -Construct a dendrogram from a set of variables- two input formats are available:

• Format 1: fasta-like format - Two lines,the first one must begin with the ">" character (this will be the identifier line) and the secon one that contains the variables (separated by tabs or spaces, not a combination of both).
• Format 2: Only one line for each set of variables (separated by spaces). The first one will be assumed to be the identifier.

Choose the input:
(a) a set of variables

Choose the coefficient used to compare between set of variables:
Pearson (r)  Jaccard (Tanimoto)   Dice  MSD   RMSD

If the Pearson coefficient (r) has been choosed, choose the transformation of r to generate the distance values (d):
d = (1 - r) * 100     d = - Ln (abs (r))

Do you want to generate 100 bootstrap replicates? No Yes

Do you want to omitt elements with identical values for all the variables? No Yes

Do you want to omitt elements with a similarity of 1? No Yes