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Dataset Information

Microarray-based ultra-high resolution discovery of genomic deletion mutations.


ABSTRACT:

Background

Oligonucleotide microarray-based comparative genomic hybridization (CGH) offers an attractive possible route for the rapid and cost-effective genome-wide discovery of deletion mutations. CGH typically involves comparison of the hybridization intensities of genomic DNA samples with microarray chip representations of entire genomes, and has widespread potential application in experimental research and medical diagnostics. However, the power to detect small deletions is low.

Results

Here we use a graduated series of Arabidopsis thaliana genomic deletion mutations (of sizes ranging from 4 bp to ~5 kb) to optimize CGH-based genomic deletion detection. We show that the power to detect smaller deletions (4, 28 and 104 bp) depends upon oligonucleotide density (essentially

SUBMITTER: Belfield EJ 

PROVIDER: S-EPMC3998191 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature