dna microarrays and gene expression assets dna microarrays and gene expression from experiments to dna microarrays and gene expression: from experiments to dna microarrays and gene expression dna microarrays and gene expressionfrom experiments to dna microarrays and gene expression: from experiments to dna microarrays and computational analysis final sln a4.... microarray data integration and t...

Advent of microarray technologies revolutionized the nature and scope of genetic and genomic research in human and other species by allowing massively parallel analysis of thousands of genomic sites. They have been used for diverse purposes such as for transcriptome analysis, CNV detection, SNP and CNV genotyping, studying DNA-protein interaction, and detection of genome methylation. Microarray...

In recent years microarray technology has been increasingly used in both basic and clinical research, providing substantial information for a better understanding of genome-environment interactions responsible for diseases, as well as for their diagnosis and treatment. However, in genomic research using microarray technology there are several unresolved issues, including scientific, ethical and...

The Stanford Microarray Database (SMD; http://smd.stanford.edu/) is a research tool and archive that allows hundreds of researchers worldwide to store, annotate, analyze and share data generated by microarray technology. SMD supports most major microarray platforms, and is MIAME-supportive and can export or import MAGE-ML. The primary mission of SMD is to be a research tool that supports resear...

DNA microarray technologies have advanced rapidly and had a profound impact on examining gene expression on a genomic scale in research. This review discusses the history and development of microarray and DNA chip devices, and specific microarrays are described along with their methods and applications. In particular, microarrays have detected many novel cancer-related genes by comparing cancer...

Experiments using microarrays abound in genomic research, yet one factor remains in question. Without replication, how much stock can we put into the findings of microarray experiments? In addition, there is a growing desire to integrate microarray data with other molecular databases. To accomplish this in a scientifically acceptable manner, we must be able to measure the validity and quality o...

background: the microarray technology is in needed of cost-effective, low background noise and stable substrates for successful hybridization and analysis. methods: in this research, we developed a three-dimentional stable and mechanically reliable microarray substrates by coating of two polymeric layers on standard microscope glass slides. for fabrication of these substrates, a thin film of ox...

Systems for re-annotations of DNA microarray data for supporting analysis of results of DNA microarray experiments are becoming important elements of bioinformatics aspects of gene expression based studies [10]. However, due to the computational problems related to the whole genome browsing projects, available services and data for reannotation of microarray probes are still quite sparse. The d...

DNA microarray technology allows scientists to study the expression of thousands of genes--potentially entire genomes--simultaneously. However the large number of genes, variety of statistical methods employed and the complexity of biologic systems complicate analysis of microarray results. We have developed a web based environment that simplifies the presentation of microarray results by combi...

Microarray data analysis is a major line of research in bioinformatics. A significant trend in bioinformatics is identifying genes or gene groups that differentiate diseased tissues. Classification is necessary to make microarray data useful for application in medicine, and in related research such as disease diagnosis. Classification models have been developed using statistical methods such as...