Computational biology is an innovative interdisciplinary research field that brings together expertise in biology, computer science and mathematics with the aim of advancing understanding of living systems through computation. This new book brings together pioneering research from this cutting-edge area to provide a text of interest to researchers in computational biology and more general readers seeking an understanding of the possibilities of the field. In the first part of the book, computational biological approaches to molecular and cellular experimental systems are reviewed. Topics include using Bayesian networks for prediction of novel pathway elements, bioinformatics approaches to microRNA identification, and mining proteins in phytopathogenic fungi. In the second part, bioinformatics and computational module are brought to the fore. Topics include the application of bioinformatics to proteomics, information systems for DNA barcode data, evaluation of modelling methods in systems biology, and the prospects for unifying bioinformatics and chemoinformatics for drug design. In the third part, further advanced topics in applied bioinformatics are considered. Subjects include a comparison of bioinformatics and molecular methods for understanding protein function, a case study of in silico analysis on a LARGE-like protein family, and the use of functional genomics in synthetic promoter design.
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