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Absence/presence calling in microarray-based CGH experiments with non-model organisms.
Jonker, Martijs J; de Leeuw, Wim C; Marinkovic, Marino; Wittink, Floyd R A; Rauwerda, Han; Bruning, Oskar; Ensink, Wim A; Fluit, Ad C; Boel, C H; Jong, Mark de; Breit, Timo M.
Afiliación
  • Jonker MJ; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands Netherlands Bioinformatics Centre (NBIC), 6525 GA, Nijmegen, the Netherlands.
  • de Leeuw WC; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands Netherlands Bioinformatics Centre (NBIC), 6525 GA, Nijmegen, the Netherlands.
  • Marinkovic M; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands Department of Aquatic Ecology and Ecotoxicology, Institute for Biodiversity and Ecosyste
  • Wittink FR; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands.
  • Rauwerda H; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands Netherlands Bioinformatics Centre (NBIC), 6525 GA, Nijmegen, the Netherlands.
  • Bruning O; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands Netherlands Bioinformatics Centre (NBIC), 6525 GA, Nijmegen, the Netherlands.
  • Ensink WA; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands.
  • Fluit AC; Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Boel CH; Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Jong Md; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands.
  • Breit TM; MicroArray Department & Integrative Bioinformatics Unit (MAD-IBU), Swammerdam Institute for Life Sciences (SILS), Faculty of Science (FNWI), University of Amsterdam (UvA), 1098 XH, Amsterdam, the Netherlands Netherlands Bioinformatics Centre (NBIC), 6525 GA, Nijmegen, the Netherlands t.m.breit@u
Nucleic Acids Res ; 42(11): e94, 2014 Jun.
Article en En | MEDLINE | ID: mdl-24771343
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de Secuencia por Matrices de Oligonucleótidos / Hibridación Genómica Comparativa / Variación Estructural del Genoma Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Nucleic Acids Res Año: 2014 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de Secuencia por Matrices de Oligonucleótidos / Hibridación Genómica Comparativa / Variación Estructural del Genoma Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Nucleic Acids Res Año: 2014 Tipo del documento: Article País de afiliación: Países Bajos