Extracts eigenvectors for Principal Component Analysis (PCA).
A sophisticated statistical test included in the software is the Mantel test. This is used to compare two matrices (e.g., a genetic distance matrix vs. a geographical distance matrix) to see if they are correlated. This feature makes ntsys pc 2.02 software powerful for evolutionary biology studies. ntsys pc 2.02 software
Once a similarity matrix is generated, applies clustering algorithms to group the taxa. The most famous implementation is the UPGMA (Unweighted Pair Group Method with Arithmetic Mean). This agglomerative hierarchical clustering method is standard in phylogenetics. The software allows users to generate dendrograms (tree diagrams) that visually represent the relationships between samples. Extracts eigenvectors for Principal Component Analysis (PCA)
The software reads data in a specific plain-text format (free-field or fixed-column). The DATA module allows: a geographical distance matrix) to see if they