STUDY OF GENOMICS DATA FOR DEVELOPMENTAL STAGE OF SHOOT IN ARABIDOPSIS THALIANA USING PRINCIPAL COMPONENT ANALYSISNITESH CHANDRA MISHRA, SUNNY PATEL, MANISH SHARMA AND KIRAN SINGH
Time is moving for open and difficult challenges of survival process of living being in nature. We think everything about life depends on energy as nothing is beyond energy limits. Now this study is showing that High throughput gene expression analysis of shoot development in Arabidopsis thaliana is becoming more and more important in many areas of biomedical research like functional genomics such as gene expression data analysis. cDNA microarray technology is one very promising approach for high throughput analysis and provides the opportunity to study gene expression patterns on a genomic scale. Thousands or even tens of thousands of genes can be spotted on a microscope slide and relative expression levels of each gene can be determined by measuring the fluorescence intensity of labeled mRNA hybridized to the arrays. Beyond simple discrimination of differentially expressed genes or diagnostic classification requires the clustering of genes from multiple experiments into groups with similar expression patterns. This information aims to identify relationships between the structural features, at the molecular level, of gene or gene products that predict the activity of the compound against the cell.
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