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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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Genome Analysis and Bioinformatics

in biological databases. It then covers the basic principals involved in sequence analysis and softwares applications, and offers practical exercises;

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Computational Exome and Genome Analysis

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an;

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Computational Exome and Genome Analysis

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an;

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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 Research and Applications

organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and;

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Algorithms in Bioinformatics

selected papers cover a wide range of topics from networks, tophylogenetic studies, sequence and genome analysis, comparative genomics, and mass;

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Bioinformatics Research and Applications

submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and;

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Genome Informatics 2007: Genome Informatics Series Vol. 19 - Proceedings Of The 18th International Conference

all aspects of bioinformatics, computational biology and systems biology. Its scope includes biological sequence analysis, protein folding;

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Bioinformatics

approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.;

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Structural Bioinformatics Handbook

Structural bioinformatics is a rapidly progressing field that deals with the determination and analysis of macromolecular biological;

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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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Bioinformatics

to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.;

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Algorithms in Bioinformatics

cover a wide range of topics from networks to phylogenetic studies, sequence and genome analysis, comparative genomics, and RNA structure.;

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Textbook Bioinformatics

research, the Genome-, Proteome-, Transcriptome- and Metabolom Analysis. A core field of Bioinformatics is the development of software for the;

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Computational Methods With Applications in Bioinformatics Analysis

, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight;

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Bioinformatics in Personalized Medicine

integration of Web services; ontologies; analysis and visualization of omics data.;

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Bioinformatics

assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational;

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Bioinformatics

, phylogenetics analysis, and SNP and haplotype analysis. After chapters on microarray, SAGE, regulation of gene expression, miRNA, and siRNA, the book;

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Genome Transcriptome And Proteome Analysis

Genome Transcriptome and Proteome Analysis is a concise introduction to the subject, successfully bringing together these three key areas;

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Next Generation Microarray Bioinformatics

analysis, and emerging applications of microarray and next generation sequencing. Written in the highly successful Methods in Molecular Biology (TM;

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Applied Bioinformatics

essential resource for students, as well as scientists seeking to understand the basis of sequencing analysis, functional genomics and protein;

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Bioinformatics Research and Applications

visualization; gene expression analysis; genome analysis; high-performance bio-computing; metagenomics; molecular evolution; molecular modelling and;

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Bioinformatics: A Practical Approach

, phylogenetics analysis, and SNP and haplotype analysis. After chapters on microarray, SAGE, regulation of gene expression, miRNA, and siRNA, the book;

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Bioinformatics and Drug Discovery

analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful Methods in Molecular Biology series format, chapters;

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Handbook of Comparative Genomics

principles of genomics and gene expression analysis* Discusses analytic methods in proteomics and transcriptomics* Includes a comprehensive list;

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Genome Informatics 2007: Genome Informatics Series Vol. 18 - Proceedings Of The 7th Annual International Workshop On Bioinformatics And Systems Biology (Ibsb 2007)

This volume contains 31 peer-reviewed papers based on the presentations at the 7th International Annual Workshop on Bioinformatics and;

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