Application of bioinformatics for DNA microarray data to bioscience, bioengineering and medical fields.
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.
Hanai
Taizo
T
Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan. taizo@brs.kyusyu-u.ac.jp
Hamada
Hiroyuki
H
Okamoto
Masahiro
M
D000818:Animals; D001695:Biology / Q000379:methods / Q000639:trends; D001698:Biomedical Engineering / Q000379:methods* / Q000639:trends; D015510:Clinical Medicine / Q000379:methods* / Q000639:trends; D019295:Computational Biology / Q000379:methods* / Q000639:trends; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D012586:Science / Q000379:methods / Q000639:trends; D015398:Signal Transduction / Q000502:physiology*
D020543:Proteome