Application of bioinformatics for DNA microarray data to bioscience, bioengineering and medical fields

• Published in: Journal of bioscience and bioengineering Vol. 101; no. 5; pp. 377 - 384
• Main Authors: Hanai, Taizo, Hamada, Hiroyuki, Okamoto, Masahiro
• Format: Journal Article
• Language: English
• Published: Amsterdarm Elsevier B.V 01.05.2006; Elsevier Science; Elsevier Limited
• Subjects: Animals; Bioengineering; bioinformatics; Biological and medical sciences; Biology - methods; Biology - trends; Biomedical Engineering - methods; Biomedical Engineering - trends; BIOTECHNOLOGIE; BIOTECHNOLOGY; BIOTECNOLOGIA; CIENCIAS MEDICAS; Clinical Medicine - methods; Clinical Medicine - trends; clustering; Computational Biology - methods; Computational Biology - trends; DNA microarray; Fundamental and applied biological sciences. Psychology; Gene Expression Profiling - methods; genetic network; Humans; MEDICAL SCIENCES; Oligonucleotide Array Sequence Analysis - methods; pattern classification; Proteome - metabolism; Science - methods; Science - trends; SCIENCES MEDICALES; Signal Transduction - physiology; DNA microarray; pattern classification; clustering; genetic network; bioinformatics; Classification; DNA chip; Genetics; Application; Bioinformatics
• ISSN: 1389-1723; 1347-4421
• DOI: 10.1263/jbb.101.377

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.