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With the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies, databases, and software tools have been developed to support comparative proteomics study. In Bioinformatics for Comparative Proteomics, experts in the field highlight the current status, challenges, open problems, and future trends for developing bioinformatics tools and resources for comparative proteomics research in order to deliver a definitive reference providing both the breadth and depth needed on the subject. Structured in three major sections, this detailed volume covers basic bioinformatics frameworks relating to comparative proteomics, bioinformatics databases and tools for proteomics data analysis, and integrated bioinformatics systems and approaches for studying comparative proteomics in the systems biology context. Written for the highly successful Methods in Molecular Biology™ series, the contributions in this book provide the meticulous, step-by-step description and implementation advice that is crucial for getting optimal results in the lab. Comprehensive and easy-to-use, Bioinformatics for Comparative Proteomics serves all readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods and future trends in proteomics data analysis, and comparative proteomics in systems biology.
Bioinformatics. --- Proteomics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Molecular biology --- Proteins --- Data processing
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This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of special system designs for building neural networks for genome informatics, and broad reviews and evaluations of current state-of-the-art methods in the field. This book concludes with a description of open research problems and future research directions.
Genetics --- Neural networks (Computer science) --- Bioinformatics. --- Genomes. --- Data processing. --- Bio-informatics --- Biological informatics --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Genomics --- Haploidy --- Biology --- Information science --- Computational biology --- Systems biology --- Artificial intelligence --- Natural computation --- Soft computing --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Data processing
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This book contains articles written by experts on a wide range oftopics that are associated with the analysis and management ofbiological information at the molecular level. It contains chapters onRNA and protein structure analysis, DNA computing, sequence mapping,genome comparison, gene expression data mining, metabolic networkmodeling, and phyloinformatics.
Biomathematics. Biometry. Biostatistics --- Computational biology --- Genetics --- Genomics --- Bio-informatique --- Génétique --- Génomique --- Mathematical models --- Modèles mathématiques --- Computational biology. --- Genomics. --- Genome research --- Genomes --- Molecular genetics --- Biomathematics --- Biology --- Bioinformatics --- Mathematical models. --- Research
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This volume introduces bioinformatics research methods for proteins, with special focus on protein post-translational modifications (PTMs) and networks. This book is organized into four parts and covers the basic framework and major resources for analysis of protein sequence, structure, and function; approaches and resources for analysis of protein PTMs, protein-protein interactions (PPIs) and protein networks, including tools for PPI prediction and approaches for the construction of PPI and PTM networks; and bioinformatics approaches in proteomics, including computational methods for mass spectrometry-based proteomics and integrative analysis for alternative splice isoforms, for functional discovery. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory or computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Protein Bioinformatics: From Protein Modifications and Networks to Proteomics is a valuable resource for readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods, and future trends in protein and proteomic data analysis in systems biology. This book is useful to researchers who work in the biotechnology and pharmaceutical industries, and in various academic departments, such as biological and medical sciences and computer sciences and engineering.
Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing
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Biology --- Health & Biological Sciences --- Biology - General
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