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Furthermore, significant progress in microarray techniques has delivered data on complex expression profiles, including post-translational modifications like glycosylation and phosphorylation.
The use of DNA microarray techniques has made it possible for large-scale analysis of gene function and regulation to be conducted.
The introduction of microarray techniques has dramatic implications on cancer research, since it allows analysis of the expression of multiple genes in concert and helps find reliable clinical parameters for cancer occurrence.
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Microarray techniques have gained ground in the pathogen diagnostic arena, with various genotyping chips such as the HPV-assay PapilloCheck (www.greinerbioone.com) upcoming.
Furthermore, microarray techniques have revealed the organism's transcription profiles under varied conditions (Fujiwara et al. 2009).
Over the past few years, microarray techniques have revolutionized practically all disciplines of molecular biology, including herpesvirus research.
Background: Recent improvements in DNA microarray techniques have made a large variety of gene expression data available in public databases.
Irrespective of the questions being addressed in a profiling study, microarray techniques have inherent problems that lead to considerable data variability.
To date, microarray techniques have been predominantly used for gene expression analysis particularly for well-studied model organisms for which typically high-quality gene annotation data were available.
Microarray techniques have demonstrated a unique gene expression signature exhibited by the synovial fluid WBCs from infected joints, characteristic of the innate host immune response to infection [ 9].
To better understand the important physiological functions of miRNAs, high-throughput, miRNA microarray techniques have been employed to determine and compare global miRNA expression in different tissues and cell types and under different conditions [ 22- 29].
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