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 withminor 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. Encompasses topics from across the diverse field of bioinformatics through its broad scope approach Over 80 authors from around the globe contribute to the two volumes, including many leading experts in their respective subjects An inter-disciplinary collaboration involving biologists, biochemists, physicists, mathematicians, statisticians and computer scientists INDICE: From the contents UNAFold: Software for Nucleic Acid Folding and Hybridization.- Protein Structure Prediction.- An Introduction to Protein Contact Prediction.- Analysis of Mass Spectrometry Data in Proteomics.- The Classification of Protein Domains.- Inferring Function from Homology.- The Rosetta Stone Method.- Inferring Functional Relationships from Conservation of Gene Order.- Phylogenetic Profiling.- Phylogenetic Shadowing: Sequence Comparisons of Multiple Primate Species.- Prediction of Regulatory Elements.- Expression and Microarrays.- Identifying Components of Complexes.- Integrating Functional Genomics Data.- Computational Diagnostics with Gene Expression Profiles.- Analysisof Quantitative Trait Loci.- Molecular Similarity Concepts and Search Calculations.- Optimization of the MAD Algorithm for Virtual Screening.- Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets.
- ISBN: 978-1-60327-428-9
- Editorial: Humana
- Encuadernacion: Cartoné
- Páginas: 470
- Fecha Publicación: 01/06/2008
- Nº Volúmenes: 1
- Idioma: Inglés