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92385 |
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|a dc
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|a Abbey, Darren A.
|e author
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|a Massachusetts Institute of Technology. Department of Biology
|e contributor
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|a Regev, Aviv
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|a Funt, Jason
|e author
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|a Lurie-Weinberger, Mor N.
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|a Thompson, Dawn A.
|e author
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|a Regev, Aviv
|e author
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|a Myers, Chad L.
|e author
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|a Berman, Judith
|e author
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|a Y MAP: a pipeline for visualization of copy number variation and loss of heterozygosity in eukaryotic pathogens
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|a Y[subscript MAP]: a pipeline for visualization of copy number variation and loss of heterozygosity in eukaryotic pathogens
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|b BioMed Central Ltd,
|c 2014-12-18T18:36:27Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/92385
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|a 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[subscript 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.
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|a Howard Hughes Medical Institute
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|a Burroughs Wellcome Fund (Career Award at the Scientific Interface)
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|a National Institutes of Health (U.S.) (PIONEER Award)
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|a Alfred P. Sloan Foundation (Fellowship)
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|a National Institute of Allergy and Infectious Diseases (U.S.) (R01 AI-0624273)
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|a en
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|a Article
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|t Genome Medicine
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