Bioinformatics: Data, Sequence Analysis and Evolution Volume I

Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In __Bioinformatics__, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. __Volume I: Data, Sequence Analysis and Evolution__ examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution. As a volume of the highly successful __Methods in Molecular BiologyTM__ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, __Bioinformatics: Volume I: Data, Sequence Analysis and Evolution__ is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science. Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field?provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems.? Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms.? As a volume of the highly successful Methods in Molecular BiologyTM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, Bioinformatics: Volume II: Structure, Function and Applications is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science In These 2 Volumes, Leading Researchers In The Field Provide A Selection Of The Most Useful And Widely Applicable Methods, Able To Be Applied As Is, Or With Minor Variations, To Many Specific Problems. Volume I: Data, Sequence Analysis And Evolution Examines A Selection Of Methods Involving The Generation And Organization Of Data, Including Sequence Data, Rna And Protein Structures, Microarray Expression Data And Functional Annotations, Methods For Discovering The Functional Components Of Genomes, Whether They Be Genes, Alternative Splice Sites, Non-coding Rnas Or Regulatory Motifs, And Several Of The Most Interesting Methods In Phylogenetics And Evolution. Volume Ii: Structure, Function And Applications Contains Methods Pertinent To The Prediction Of Protein And Rna Structures And The Analysis And Classification Of Structures, Methods For Inferring The Function Of Previously Identified Genomic Elements, Chiefly Protein-coding Genes, Medical Applications In Diagnostics And Dr. V. 1. Data, Sequence Analysis, And Evolution -- V. 2. Structure, Function, And Applications. Edited By Jonathan M. Keith. Includes Bibliographical References And Indexes. Annotation In this book, leading researchers in the field of Bioinformatics provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Over 80 authors from around the globe contribute to the two volumes, including many leading experts in their respective subjects. They encompass topics from across the diverse field of bioinformatics through its broad scope, combining to provide an inter-disciplinary collaboration involving biologists, biochemists, physicists, mathematicians, statisticians and computer scientists Front Matter....Pages i-xii Back Matter....Pages 3-27 ....Pages 29-61