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Genom Data. 2014 Dec;2:53-54. doi: 10.1016/j.gdata.2014.04.005.

Microarray-based optimization to detect genomic deletion mutations.

Genomics data

Eric J Belfield, Carly Brown, Xiangchao Gan, Caifu Jiang, Dilair Baban, Aziz Mithani, Richard Mott, Jiannis Ragoussis, Nicholas P Harberd

Affiliations

  1. Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.
  2. Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK ; Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK ; Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg, Cologne 50829, Germany.
  3. Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.
  4. Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK ; Department of Biology, LUMS School of Science and Engineering, Sector UDHA, Lahore 54792, Pakistan.
  5. Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK ; McGill University and Genome Quebec Innovation Centre, 740 DR Penfield Ave., Montreal H3A 0G1, Canada.

PMID: 26258045 PMCID: PMC4526893 DOI: 10.1016/j.gdata.2014.04.005

Abstract

We performed array comparative genome hybridization (aCGH) analyses of five

Keywords: CGH; Deletion; Genome; Microarray; Mutation

References

  1. Genome Biol. 2002 Aug 30;3(9):research0048 - PubMed
  2. BMC Genomics. 2014 Mar 22;15:224 - PubMed

Publication Types

Grant support