Literature DB >> 15130846

EYE on bioinformatics: dissecting complex disease traits in silico.

Yuk Fai Leung1, Chi Pui Pang.   

Abstract

Bioinformatics has provided an unprecedented power and resource for us to decipher the enigma of complex diseases. It can reveal otherwise promiscuous information from the tremendous amount of data generated by the new, powerful and high-throughput technologies of genomics and proteomics. In this paper, we review the cutting edge developments in complex disease trait mapping, databases, computational gene recognition, gene function prediction, pathway reconstruction and disease classification by expression profiling, and computational modelling of living systems. Integration of all this knowledge and the different technologies, alongside cooperation between experts from different fields, will enhance our understanding of the molecular and mechanistic abnormalities in disease state, and greatly assist the rational development of effective therapies.

Mesh:

Year:  2002        PMID: 15130846

Source DB:  PubMed          Journal:  Appl Bioinformatics        ISSN: 1175-5636


  1 in total

1.  A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases-schizophrenia as a case.

Authors:  Jingchun Sun; Peilin Jia; Ayman H Fanous; Bradley T Webb; Edwin J C G van den Oord; Xiangning Chen; Jozsef Bukszar; Kenneth S Kendler; Zhongming Zhao
Journal:  Bioinformatics       Date:  2009-07-14       Impact factor: 6.937

  1 in total

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