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Gene chip analysis
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Gene chip analysis : ウィキペディア英語版
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.
== Data processing and quality control ==
Proper data processing and quality control are critical to the validity and interpretability of gene chip analysis.
Data processing includes data normalization, flagging of the data, averaging the intensity ratio for replicates, clustering of similarly expressed genes, etc. Data also must be normalized before further analysis. Normalization removes non-biological variation between the samples. After normalization, the intensity ratio is calculated for each gene in the replicate. Based on the ratio, the level of gene expression is determined. Quality control can then be performed.
Various statistical analyses are performed for quality control. Each replicate is also examined for various experimental artifacts and bias by computing parameters related to intensity, background, flags, spot details, etc.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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