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Bioinformatics and Data Analysis in Microbiology

book provides invaluable, up-to-date, and detailed information on various aspects of bioinformatics data analysis with applications to;

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Advances in Bioinformatics and Computational Biology

, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;

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Medical Bioinformatics and Biochemistry (Diabormatics)

used as a tool for analyzing the research data related to disease diagnosis and treatment. Bioinformatics is an interdisciplinary approach that;

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BIOS Instant Notes in Bioinformatics

including data standards. The applications covered are sequence analysis and annotation, transcriptomics, proteomics, metabolite study;

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Genome Data Analysis

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that;

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Bioinformatics: Volume I

developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised;

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Bioinformatics Research and Applications

submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Bioinformatics

biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful;

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Bioinformatics and Biomedical Engineering

: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Handbook of Molecular Microbial Ecology I

emerging field that has changed the way microbiologists study microorganisms. It involves the genomic analysis of microorganisms by extraction and;

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Bioinformatics Research

from different types of genomic data using bioinformatics; bioinformatics analysis of gene networks involved in genomic stability and cancer;

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Advances in Bioinformatics

, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis;

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Application of Omics, AI and Blockchain in Bioinformatics Research

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level;

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Bayesian Analysis of Gene Expression Data

featuring datasets, exercises and solutions. Bayesian Analysis of Gene Expression Data offers a unique introduction to both Bayesian analysis and;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;

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Bioinformatics

analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics;

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Applications Of Fuzzy Logic In Bioinformatics

structure predictionanalysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.;

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Next Generation Microarray Bioinformatics

current computational and statistical methods to analyze and interpreting both microarray and NGS data. These methods and techniques include;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Bioinformatics for Comparative Proteomics

and tools for proteomics data analysis, and integrated bioinformatics systems and approaches for studying comparative proteomics in the;

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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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Algorithmic And Artificial Intelligence Methods For Protein

analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics;

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