Ten genes, chosen based on their high intracellular expression by microarray data or identification by competitive enrichment, were selected for deletion in the gentamicin-sensitive B. cenocepacia MH1K.
Among the applications of DNA microarray expression data, identification of differentially expressed genes is widely used to search for genes involved in specific biological processes.
HC has been successfully used in a number of bioinformatics applications including microarray data analysis, structure identification of bio-molecules and gene pathway identification [ 9].
LS is responsible for all experimental manipulations, analysis of microarray and sequencing data, identification of MMEs, writing of the manuscript, and assisted in probe design for the pan- Neisseria microarray.
Actively choosing the genes for knock-out experiments allows optimal perturbation of the pathway and therefore produces the most informative DNA microarray data for pathway identification purposes.
The statistical analysis of Microarray data allowed the identification of 138 and 181 differentially expressed genes in the first (0.8 2; IC50: 13.4 µM) and the second (4.0 1; IC50: 45 µM) resistant clone, respectively, as compared to the parental cells (Ba/F3-p210 Ba/F3-p210enes common to both clones.
The combination of miRNA and mRNA microarray data enabled the identification of miRNAs which potentially act in this developmental process.
Czechowski et al. reported the first use of microarray data for the identification of superior reference genes.
Instead, we used the microarray data for the identification of interconnected pathways within specific and extremely well characterized lesions.
A few previous studies have suggested the use of microarray data for the identification of better candidate reference gene(s) for RT qPCR data normalization.
