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
N1 - Funding Information:
The authors are grateful to Ms. Chinatsu Arima, Ms. Chihoko Yoshimura, Mr. Yoshihiko Tashima, Dr. Kazumi Hakamada, Mr. Masahiko Nakatsui, Dr. Yukihiro Maki and Dr. Takanori Ueda for their substantial contributions to these studies. Our research in this review was supported by a Grant-in-Aid for Scientific Research on Priority Areas (C) “Genome Informatics Science” (nos. 13208008 and 12208008) from the Ministry of Education, Culture, Sports, Science and Technology of Japan and the Project for Development of a Technological Infrastructure for Industrial Bioprocesses on R&D of New Industrial Science and Technology Frontiers by the Ministry of Economy, Trade and Industry (METI), and entrusted by the New Energy and Industrial Technology Development Organization (NEDO).
PY - 2006/5
Y1 - 2006/5
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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U2 - 10.1263/jbb.101.377
DO - 10.1263/jbb.101.377
M3 - Article
C2 - 16781465
AN - SCOPUS:33746692588
VL - 101
SP - 377
EP - 384
JO - Journal of Bioscience and Bioengineering
JF - Journal of Bioscience and Bioengineering
SN - 1389-1723
IS - 5
ER -