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"This book is intended as a self-contained guide to the entire field of bioinformatics, interpreted as the application of information science to biology. There is a strong underlying belief that information is a profound concept underlying biology, and familiarity with the concepts of information should make it possible to gain many important new insights into biology. In other words, the vision underpinning this book goes beyond the narrow interpretation of bioinformatics sometimes encoun- tered, which may confine itself to specific tasks such as the attempted identification of genes in a DNA sequence."

"This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level to enable learning by doing. Students solve the problems in the same computational environment used for decades in science ? the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems."

"Brazilian Symposium on Bioinformatics covers all aspects of bioinformatics and computational biology, including sequence analysis, motifs, and pattern matching, biological databases, data management, data integration, and data mining, biomedical text mining, structural, comparative, and functional genomics, personal genomics, protein structure, modeling, and simulation, gene identification, regulation and expression analysis, gene and protein interaction and networks, molecular docking, molecular evolution and phylogenetics, computational systems biology, computational proteomics, statistical analysis of molecular sequences, algorithms for problems in computational biology, applications in molecular biology, biochemistry, genetics, medicine, microbiology and associated subjects."

"This book constitutes the refereed proceedings of the 10th Spanish Symposium on Bioinformatics, JBI 2010, held in Torremolinos, Spain, in October 2010. The 13 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are structured in topical sections on next-generation sequencing data; genome-wide association studies; high-performanced databases; text-mining; tools for integration of Web services; ontologies; analysis and visualization of omics data."

"This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest."