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Eukaryotic pathogens have complicated and dynamic genomes.
To facilitate analysis of copy number variations (CNV), single nucleotide polymorphisms (SNPs), and loss of heterozygosity (LOH) events in Candida albicans, the most common human fungal pathogen, we developed a pipeline for analyzing diverse genome-scale datasets from microarray, deep sequencing, and restriction site associated DNA sequence experiments for clinical and laboratory strains. The YMAP pipeline automatically illustrates genome-wide information in a single intuitive figure and is readily modified for the analysis of other categories of data and other pathogen species with small genomes.