Abstract
The design of effective antimicrobial therapies for serious eukaryotic pathogens requires a clear understanding of their highly variable genomes. To facilitate analysis of copy number variations, single nucleotide polymorphisms and loss of heterozygosity events in these pathogens, 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 of Candida albicans, the most prevalent human fungal pathogen. The YMAP pipeline ( http://lovelace.cs.umn.edu/Ymap/ ) automatically illustrates genome-wide information in a single intuitive figure and is readily modified for the analysis of other pathogens with small genomes.
Original language | English (US) |
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Article number | 100 |
Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Genome medicine |
Volume | 6 |
DOIs | |
State | Published - Nov 20 2014 |
Bibliographical note
Publisher Copyright:© 2014 Abbey et al.; licensee BioMed Central Ltd.