Gene Chip Analysis
Microarray technology is a powerful tool for genomic analysis. It gives a global view of the genome in a single experiment. Data analysis of the microarray is a vital part of the experiment. Each microarray study comprises multiple microarrays, each giving tens of thousands of data points. Since the volume of data is growing exponentially as microarrays grow larger, the analysis becomes more challenging. In general the greater the volume of data, the more chances arise for erroneous results. Handling such large volumes of data requires high end computational infrastructures and programs that can handle multiple data formats. There are already programs available for microarray data analysis on various platforms. However, due to rapid development, diversity in microarray technology, and different data formats, there is always the need for more comprehensive and complete microarray data analysis.
Read more about Gene Chip Analysis: Data Analysis, Replicates, Normalization, Quality Control, Filtering of Flagged Data, Filtering of Noisy Replicates, Filtering of Non-significant Genes, Statistical Analysis, Clustering, Hierarchical Clustering, K-means Clustering, Gene Ontology Studies, Pathway Analysis
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