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Y(MAP): a pipeline for visualization of copy number variation and loss of heterozygosity in eukaryotic pathogens

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 pip...

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Detalles Bibliográficos
Autores principales: Abbey, Darren A, Funt, Jason, Lurie-Weinberger, Mor N, Thompson, Dawn A, Regev, Aviv, Myers, Chad L, Berman, Judith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263066/
https://www.ncbi.nlm.nih.gov/pubmed/25505934
http://dx.doi.org/10.1186/s13073-014-0100-8
Descripción
Sumario: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 Y(MAP) 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-014-0100-8) contains supplementary material, which is available to authorized users.