Description
Book SynopsisThere is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills the gap by introducing an interdisciplinary set of the most recent methods and references on novel techniques from artificial intelligence, data mining, engineering, pattern recognition, and ontological data mining fields that are applicable to bioinformatics. The latest novel approaches are explained in detail, their advantages and disadvantages are summarized, and pointers to the future development of new applications are given. By widening the pool from which biologists and bioinformaticians can adopt methods for biodata mining and visualization, computational data mining experts in nonbiological fields are also encouraged to utilize their expertise in order to contribute to the progress of computational biology, thus enhancing the collaboration between these two disciplines.
Table of ContentsIntroduction to Modern Molecular Biology; Biodata Explosion; Local Pattern Discovery and Comparison of Genes and Proteins; Global Pattern Discovery and Comparison of Genomes; Molecule Structure?based Searching and Comparison; Function Annotation and Ontology?based Searching and Classification; New Methods for Genomics Data; Integration of Multimodal Data: Toward Systems Biology; Future Challenges.
