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Published on: January 12, 2020
Application of bioinformatics for DNA microarray data to bioscience, bioengineering and medical fields
Taizo Hanai1, Hiroyuki Hamada, Masahiro Okamoto
1Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan. taizo@brs.kyusyu-u.ac.jp
Abstract:
In the 1990s, DNA microarray or DNA chip as a novel biological experimental technology was developed, which enables the comprehensive measurement of the expression levels of hundreds of genes, simultaneously. Using this technique, a comprehensive understanding of the cell can be achieved. However, because even simple life forms, such as microorganisms, have more than a thousand kinds of genes, the data from a DNA chip cannot be analyzed without statistical and informational technology. Bioinformatics is the interdisciplinary research field integrating molecular biology with informatics, and it is expected to have a huge impact on the bioscientific, bioengineering and medical fields. There are many techniques in bioinformatics for the analysis of DNA microarray data; however, these are mainly divided into fold-change analysis, clustering, classification, genetic network analysis, and simulation. In this review, these techniques are briefly explained by using some examples.
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