Format

Send to

Choose Destination
See comment in PubMed Commons below
Expert Rev Proteomics. 2006 Jun;3(3):333-43.

Bioinformatics and data mining in proteomics.

Author information

1
Eastern Virginia Medical School, Department of Microbiology & Molecular Cell Biology, George L Wright Center for Biomedical Proteomics, Lewis Hall 3011, Norfolk, VA 23501, USA. haoudia@evms.edu

Abstract

Proteomic studies involve the identification as well as qualitative and quantitative comparison of proteins expressed under different conditions, and elucidation of their properties and functions, usually in a large-scale, high-throughput format. The high dimensionality of data generated from these studies will require the development of improved bioinformatics tools and data-mining approaches for efficient and accurate data analysis of biological specimens from healthy and diseased individuals. Mining large proteomics data sets provides a better understanding of the complexities between the normal and abnormal cell proteome of various biological systems, including environmental hazards, infectious agents (bioterrorism) and cancers. This review will shed light on recent developments in bioinformatics and data-mining approaches, and their limitations when applied to proteomics data sets, in order to strengthen the interdependence between proteomic technologies and bioinformatics tools.

PMID:
16771705
DOI:
10.1586/14789450.3.3.333
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Taylor & Francis
    Loading ...
    Support Center