Literature DB >> 16781465

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

Taizo Hanai1, Hiroyuki Hamada, Masahiro Okamoto.   

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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Year:  2006        PMID: 16781465     DOI: 10.1263/jbb.101.377

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  5 in total

1.  Inference of gene regulatory networks from genome-wide knockout fitness data.

Authors:  Liming Wang; Xiaodong Wang; Adam P Arkin; Michael S Samoilov
Journal:  Bioinformatics       Date:  2012-12-27       Impact factor: 6.937

Review 2.  Transcriptomics: A Step behind the Comprehension of the Polygenic Influence on Oxidative Stress, Immune Deregulation, and Mitochondrial Dysfunction in Chronic Kidney Disease.

Authors:  Simona Granata; Alessandra Dalla Gassa; Gloria Bellin; Antonio Lupo; Gianluigi Zaza
Journal:  Biomed Res Int       Date:  2016-06-21       Impact factor: 3.411

3.  A sequential Monte Carlo approach to gene expression deconvolution.

Authors:  Oyetunji E Ogundijo; Xiaodong Wang
Journal:  PLoS One       Date:  2017-10-19       Impact factor: 3.240

4.  GPX2 and BMP4 as Significant Molecular Alterations in The Lung Adenocarcinoma Progression: Integrated Bioinformatics Analysis.

Authors:  Mohammad Hossein Derakhshan Nazari; Rana Askari Dastjerdi; Parnian Ghaedi Talkhouncheh; Ahmad Bereimipour; Hamidreza Mollasalehi; Amir Ali Mahshad; Ali Razi; Mohammad Hossein Nazari; Amin Ebrahimi Sadrabadi; Sara Taleahmad
Journal:  Cell J       Date:  2022-06-29       Impact factor: 3.128

5.  SDED: a novel filter method for cancer-related gene selection.

Authors:  Wenlong Xu; Minghui Wang; Xianghua Zhang; Lirong Wang; Huanqing Feng
Journal:  Bioinformation       Date:  2008-04-11
  5 in total

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