抄録
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.
| 元の言語 | 英語 |
|---|---|
| ページ（範囲） | 377-384 |
| ページ数 | 8 |
| ジャーナル | Journal of Bioscience and Bioengineering |
| 巻 | 101 |
| 発行部数 | 5 |
| DOI | |
| 出版物ステータス | 出版済み - 5 1 2006 |
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All Science Journal Classification (ASJC) codes
- Biotechnology
- Bioengineering
- Applied Microbiology and Biotechnology
これを引用
Application of bioinformatics for DNA microarray data to bioscience, bioengineering and medical fields. / Hanai, Taizo; Hamada, Hiroyuki; Okamoto, Masahiro.
：: Journal of Bioscience and Bioengineering, 巻 101, 番号 5, 01.05.2006, p. 377-384.研究成果: ジャーナルへの寄稿 › 記事
}
TY - JOUR
T1 - Application of bioinformatics for DNA microarray data to bioscience, bioengineering and medical fields
AU - Hanai, Taizo
AU - Hamada, Hiroyuki
AU - Okamoto, Masahiro
PY - 2006/5/1
Y1 - 2006/5/1
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=33746692588&partnerID=8YFLogxK
U2 - 10.1263/jbb.101.377
DO - 10.1263/jbb.101.377
M3 - Article
VL - 101
SP - 377
EP - 384
JO - Journal of Bioscience and Bioengineering
JF - Journal of Bioscience and Bioengineering
SN - 1389-1723
IS - 5
ER -