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Biological Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) ReviewWith the increase in the volume of data being generated in biological field, it has become necessary to perform data mining to identify interesting patterns. The selected patterns will contribute for researchers to develop tools to analyze the individual systems in detail to gain new biological insights. This book Biological Data Mining contains information obtained from noteworthy samples of successful projects involving data mining in biological field. The book overviews the development on bioinformatics and discusses from five respects: Sequence, Structure and Function; Genomics, Transcriptions and Proteomics; Functional and Molecular Interaction Network; Literature, Ontology, and Knowledge Integration. On each respect, the data mining methods are explained deeply and understandably.All chapters of this book are directly written by experts on specified fields and represent the frontends. This book provides valuable and inspiring approaches to currently hot spots. Personally I am interested in Protein Structure and Function. From this book I learned many useful methods and successful projects from protein structure classification to structure prediction, and to protein function prediction. This saved me lots of time to search for references.
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