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Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and;

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Methods in Proteome and Protein Analysis

fluorescence polarization study; the classification and prediction of structure or functional sites; in silico analysis of proteins and proteomes;

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Prediction of Protein Structures, Functions, and Interactions

for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction;

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Carotenoids: Carotenoid and Apocarotenoid Biosynthesis, Metabolic Engineering and Synthetic Biology

metabolites in various species via quantitative trait loci and genome wide association mapping approaches, Using bacteria for functional analysis;

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New Approaches of Protein Function Prediction from Protein Interaction Networks

function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins;

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Protein Aggregation in Bacteria

and medical applications The first book devoted specifically to the topic of aggregation in bacteria, Protein Aggregation in Bacteria;

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Computational Biology

alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.;

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Protein Structure

errors in the prediction of protein structural models, and outlines challenges in the conversion of routine processes into high-throughput;

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2-D Proteome Analysis Protocols

-resolution 2-D gels, immobilized pH gradients, computer analysis, and mass spectromet- based protein identification methodologies. This book;

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Protein Structure Prediction

This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the;

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Compact Handbook of Computational Biology

, techniques, and challenges of biomolecular sequence analysis, biopolymer structure analysis and prediction, genomics, and molecular evolution;

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Proteomics in Functional Genomics

, modifications and processings, and overall analysis of global protein outputs from cells and tissues in health and disease. This book gears to the;

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Proteomics in Functional Genomics

, modifications and processings, and overall analysis of global protein outputs from cells and tissues in health and disease. This book gears to the;

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Computational Protein-Protein Interactions

in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design. Explores;

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Computational Protein-Protein Interactions

in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design. Explores;

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Bioinformatics

sequence analysis and structure prediction, and more recent technologies such as datamining of transcriptomic and proteomic data to provide;

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Practical Bioinformatician, The

of diseases, and the understanding of gene functions.* Case studies on analysis of phylogenies, functional annotation of proteins, construction;

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Practical Bioinformatician, The

of diseases, and the understanding of gene functions.* Case studies on analysis of phylogenies, functional annotation of proteins, construction;

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Techniques in Protein Chemistry

>Posttranslational processing High-sensitivity protein and peptide separations Protein folding and NMR Functional domain analysis;

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Computational Genomics

database searches, sequence analysis and comparison, multiple sequence analysis, large-scale EST analysis, genome browsing, protein structure;

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Protein Bioinformatics

databases and biological databases in the first half of this book. This book provides a comprehensive analysis of the protein structure and further;

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The Functional Fold

in fungi, bacteria, algae, invertebrate, and vertebrate animals for providing environmental protection, structural integrity, and regulating;

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Protein Bioinformatics

bioinformatics tools available today for protein analysis, interpretation and prediction. Students and researchers of biotechnology, bioinformatics;

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A Metaheuristic Approach to Protein Structure Prediction

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and;

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Genomes 4

, and protein-protein interactions. Also included are applications of transcriptome analysis, metabolomics, and systems biology. The final;

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Protein and Peptide Analysis by LC-MS

will learn more about strategies in protein analysis, like quantitative analysis, industrial standards, functional analysis and more.;

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Protein-protein Complexes

focuses on what can be learned about protein-protein interactions from the analysis of protein-protein complex structures and interfaces. What are;

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