Bioinformatics and biological data mining

Abstract At present there is tremendous growth in biological data, which is primarily due to developments in genomics, proteomics, DNA microarrays, biomedical imaging, biomolecular interactions, and digital records of patients. These data are rapidly increasing but the tools and techniques to generate the information from this data pool are limited. In this age of information technology, data mining techniques are being used for extracting results from the large biological data in the form of bioinformatics, which is the science of storing, analyzing, and utilizing information from biological data. Using data mining techniques and models, automatic discovery of novel patterns is possible from a large amount of biological data, and it has shifted the focus of the researchers toward data-intensive discovery. This chapter covers the basics of data mining techniques and their application in genomics, proteomics, medical, and health analysis.