Literature DB >> 12231221

Bioinformatics for the genomic sciences and towards systems biology. Japanese activities in the post-genome era.

Toru Yao1.   

Abstract

The knowledge gleaned from genome sequencing and post-genome analyses is having a very significant impact on a whole range of life sciences and their applications. 'Genome-wide analysis' is a good keyword to represent this tendency. Thanks to innovations in high-throughput measurement technologies and information technologies, genome-wide analysis is becoming available in a broad range of research fields from DNA sequences, gene and protein expressions, protein structures and interactions, to pathways or networks analysis. In fact, the number of research targets has increased by more than two orders in recent years and we should change drastically the attitude to research activities. The scope and speed of research activities are expanding and the field of bioinformatics is playing an important role. In parallel with the data-driven research approach that focuses on speedy handling and analyzing of the huge amount of data, a new approach is gradually gaining power. This is a 'model-driven research' approach, that incorporates biological modeling in its research framework. Computational simulations of biological processes play a pivotal role. By modeling and simulating, this approach aims at predicting and even designing the dynamic behaviors of complex biological systems, which is expected to make rapid progress in life science researches and lead to meaningful applications to various fields such as health care, food supply and improvement of environment. Genomic sciences are now advancing as great frontiers of research and applications in the 21st century. This article starts with surveying the general progress of bioinformatics (Section 1), and describes Japanese activities in bioinformatics (Section 2). In Section 3, I will introduce recent developments in Systems Biology which I think will become more important in the future. Copyright 2002 Elsevier Science Ltd.

Mesh:

Year:  2002        PMID: 12231221     DOI: 10.1016/s0079-6107(02)00011-1

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  6 in total

1.  PANDORA: keyword-based analysis of protein sets by integration of annotation sources.

Authors:  Noam Kaplan; Avishay Vaaknin; Michal Linial
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

2.  Informatics strategies for large-scale novel cross-linking analysis.

Authors:  Gordon A Anderson; Nikola Tolic; Xiaoting Tang; Chunxiang Zheng; James E Bruce
Journal:  J Proteome Res       Date:  2007-08-03       Impact factor: 4.466

3.  Expressing gK gene of duck enteritis virus guided by bioinformatics and its applied prospect in diagnosis.

Authors:  Shunchuan Zhang; Guangpeng Ma; Jun Xiang; Anchun Cheng; Mingshu Wang; Dekang Zhu; Renyong Jia; Qihui Luo; Zhengli Chen; Xiaoyue Chen
Journal:  Virol J       Date:  2010-07-21       Impact factor: 4.099

4.  MetNet: Software to Build and Model the Biogenetic Lattice of Arabidopsis.

Authors:  Eve Syrkin Wurtele; Jie Li; Lixia Diao; Hailong Zhang; Carol M Foster; Beth Fatland; Julie Dickerson; Andrew Brown; Zach Cox; Dianne Cook; Eun-Kyung Lee; Heike Hofmann
Journal:  Comp Funct Genomics       Date:  2003

5.  Challenges and solutions in the development of genomic biomarker panels: a systematic phased approach.

Authors:  K Shahzad; A Fatima; M Cadeiras; N Wisniewski; G Bondar; R Cheng; E Reed; Mc Deng
Journal:  Curr Genomics       Date:  2012-06       Impact factor: 2.236

6.  Evolution of complete proteomes: guanine-cytosine pressure, phylogeny and environmental influences blend the proteomic architecture.

Authors:  Wanping Chen; Yanchun Shao; Fusheng Chen
Journal:  BMC Evol Biol       Date:  2013-10-03       Impact factor: 3.260

  6 in total

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