Data Mining in Bioinformatics

The goal of this book is to help readers understand state-of-the-art techniques in biological data mining and data management and includes topics such as:- preprocessing tasks such as data cleaning and data integration as applied to biological data- classification and clustering techniques for microarrays-comparison of RNA structures based on stringproperties and energetics- discovery of the sequence characteristics of different parts of the genome- mining of haplotypes to find disease markers- sequencing of events leading to the folding of a protein- inference of the subcellular location of protein activity- classification of chemical compounds based on structure- special purpose metrics and index structures for phylogenetic applications- a new query language for protein searching based on the shape of proteins- very fast indexing schemes for sequences and pathways. Aimed at computer scientists, necessary biology is explained.