Data mining bioinformatics

ARAKAWA, K., MORI, K., IKEDA, K., MATSUZAKI, T., KOBAYASHI, Y., TOMITA, M., G-Language Genome Analysis Environment A workbench for nucleotide sequence data mining.. Bioinformatics, 2003,19, 305-306... 

Bioinformatics Robotics control, image processing, data mining, and visualization are usually used for implementation of microarray experiments. 

All four of the proteomic technologies mentioned above (2D-PAGE, HPLC, MS, and protein arrays) are dependent on the use of bioinformatics as a tool for data mining and elucidation. Often, MS runs generate lists of thousands of potential peptide biomarkers, and only with the help of dedicated software tools can the data be analyzed. Computer searches involving databanks of peptides and proteins are used to compare the lists of masses of the proteolytic peptides to theoretical proteolytic products. Matches between the observed mass and the calculated mass can serve as a way of identifying proteins of interest [28-32],... 

Attempts to manage specialized scientific information have given birth to the new discipline of informatics. The branch of informatics that deals primarily with genomic (sequence) data is bioinformatics, whereas cheminformatics deals with chemically oriented data. Informatics examines the way people work with computer-based information. Computers can access huge warehouses of information in the form of databases. Effective mining of these databases can, in principle, lead to knowledge. 

Bioinformatics The use of information technology to analyze data obtained from proteomic analysis. An example is the use of databases such as SWISSPROT to identify proteins from sequence information determined by the mass spec-trometric analysis of peptides. See Wang, J.T.L., Data Mining in Bioinformatics, Springer, London, 2005 Lesk, A.M., Introduction to Bioinformatics, Oxford University Press, New York, 2005 Englbrecht, C.C. and Facius, A., Bioinformatics challenges in proteomics. Comb. Chem. High... 

Key words Bioinformatics, Biomarkers, Data mining, Decision support, Dynamical medicine, Health... 

Data Mining Techniques for Bioinformatics Application A Case Study 582... 

Selected Data Mining Techniques for Gene Expression 9.15.3.1 Unsupervised Methods in Bioinformatics... 

S. Bicciato M. Pandin G. Didone C. D. Bello, In Analysis of an Associative Memory Neural Network for Pattern Identification in Gene Expression Data, Proceedings of 1st Workshop on Data Mining in Bioinformatics, M. J. Zaki, H. T. T. Toivonen, J. T. L. Wang, Eds. San Francisco, CA, USA, pp 22-30. 

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