By tracking pathogen outbreaks using whole genome sequencing, medical microbiology is currently being transformed into genomic epidemiology. This change in technology is leading to the rapid accumulation of large samples of closely related genome sequences. Summarizing such samples into phylogenies can be computationally challenging. Our program andi quickly computes accurate pairwise distances between up to thousands of bacterial genomes. Working under the UNIX command line, we show how andi can be used to transform genomes to phylogenies with support values ready to be printed or integrated into documents.
Keywords: Distance matrix; Genomic epidemiology; Homology; Maximal match; Phylogeny; Support values.