Genomics Data
(Dec 2014)
Microarray-based optimization to detect genomic deletion mutations
Eric J. Belfield,
Carly Brown,
Xiangchao Gan,
Caifu Jiang,
Dilair Baban,
Aziz Mithani,
Richard Mott,
Jiannis Ragoussis,
Nicholas P. Harberd
Affiliations
Eric J. Belfield
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK
Carly Brown
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK
Xiangchao Gan
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK
Caifu Jiang
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK
Dilair Baban
Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
Aziz Mithani
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK
Richard Mott
Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
Jiannis Ragoussis
Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
Nicholas P. Harberd
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK
DOI
https://doi.org/10.1016/j.gdata.2014.04.005
Journal volume & issue
Vol. 2,
no. C
Abstract
Read online
We performed array comparative genome hybridization (aCGH) analyses of five Arabidopsis thaliana mutants with genomic deletions ranging in size from 4 bp to >5 kb. We used the Roche NimbleGen Arabidopsis CGH 3 × 720 K whole genome custom tiling array to optimize deletion detection. Details of the microarray design and hybridization data have been deposited at the NCBI GEO repository with accession number GSE55327.
Keywords
WeChat QR code
Close
