Literature DB >> 24771343

Absence/presence calling in microarray-based CGH experiments with non-model organisms.

Martijs J Jonker1, Wim C de Leeuw1, Marino Marinković2, Floyd R A Wittink3, Han Rauwerda1, Oskar Bruning1, Wim A Ensink3, Ad C Fluit4, C H Boel4, Mark de Jong3, Timo M Breit5.   

Abstract

Structural variations in genomes are commonly studied by (micro)array-based comparative genomic hybridization. The data analysis methods to infer copy number variation in model organisms (human, mouse) are established. In principle, the procedures are based on signal ratios between test and reference samples and the order of the probe targets in the genome. These procedures are less applicable to experiments with non-model organisms, which frequently comprise non-sequenced genomes with an unknown order of probe targets. We therefore present an additional analysis approach, which does not depend on the structural information of a reference genome, and quantifies the presence or absence of a probe target in an unknown genome. The principle is that intensity values of target probes are compared with the intensities of negative-control probes and positive-control probes from a control hybridization, to determine if a probe target is absent or present. In a test, analyzing the genome content of a known bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful, demonstrated by receiver operating characteristic area under the curve values larger than 0.9995. We show its usability in various applications, such as comparing genome content and validating next-generation sequencing reads from eukaryotic non-model organisms.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 24771343      PMCID: PMC4066771          DOI: 10.1093/nar/gku343

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  37 in total

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5.  Solving the riddle of the bright mismatches: labeling and effective binding in oligonucleotide arrays.

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6.  Towards a comprehensive structural variation map of an individual human genome.

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  3 in total

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3.  Multiplexed DNA detection based on positional encoding/decoding with self-assembled DNA nanostructures.

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