Description
Compact Handbook of Computational Biology
Coordinators: Konopka A.K., Crabbe M. James C.
Language: EnglishSubjects for Compact Handbook of Computational Biology:
Keywords
Protein DNA Recognition; Protein DNA Binding; Minimum Free Energy Structures; DNA Bending; Structure Prediction; Cognate DNA; Protein DNA; Multiple Sequence Alignment; Protein DNA Complex; Secondary Structures; Multiple Alignment; DDG Values; AB INITIO Method; Compositional Asymmetry; DNA Protein Interaction; Base Pairs; Amino Acid; Eta Domain; Secondary Structure Prediction; Target Prediction; Non-synonymous Sites; GC Sequence; Alignment Position; Gene A1; Binding Sites
Publication date: 08-2004
· 15.2x22.9 cm · Hardback
Publication date: 09-2019
· 15.2x22.9 cm · Paperback
Description
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The assimilation of computational methods into the life sciences has played an important role in advancing biological research. From sequencing genomes to discovering motifs in large collections of functionally equivalent sequences of nucleic acids and proteins, the value of powerful computational tools has become abundantly clear. The Compact Handbook of Computational Biology describes the foundational concepts, techniques, and challenges of biomolecular sequence analysis, biopolymer structure analysis and prediction, genomics, and molecular evolution.
Comprising contributions from renowned scientists, many of whom pioneered current methodologies, the Compact Handbook of Computational Biology offers interdisciplinary and authoritative coverage of methods for analysis of nucleic acid and protein sequences and structures, definition and detection of motifs in nucleic acid and protein sequences, protein structure prediction, and discrete modeling of biopolymers. Specific computational topics include computer-assisted research on protein folding, computer-assisted studies of DNA-protein interactions, computer-assisted genomics, proteomics, and comparative genomics, and computer-assisted studies of genome evolution at the molecular (DNA) level.
Offering a survey of specific algorithms that have proven successful in molecular biology, genomics, structural biology, and bioinformatics, this invaluable handbook is an authoritative source covering terminology, software, and applications of computational biology.