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Bioinformatics and Molecular Evolution

In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive;

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Advances in Bioinformatics and Computational Biology

, regulation and expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics;

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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

the modelling of complex biological systems by way of molecular evolution and protein structure prediction. This new book provides state;

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Grid Computing for Bioinformatics and Computational Biology

Data visualization DNA assembly, clustering, and mapping Molecular evolution and phylogeny Gene expression and micro-arrays Molecular modeling;

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Trends in Bioinformatics Research

the modelling of complex biological systems by way of molecular evolution and protein structure prediction. This new book provides state;

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Bioinformatics for Beginners

Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly;

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Advances in Bioinformatics and Computational Biology

; gene expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics;

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Research in Computational Molecular Biology

experimental bioinformatics such as molecular sequence analysis, recognition of genes and regulatory elements, molecular evolution, protein structure;

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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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Current Advances in Molecular Mycology

Molecular mycology has been playing a pivotal role in 21st century. It is emerging with full impact. It is multi-disciplinary and includes;

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Molecular Nutrition and Genomics

may be heading as a species. Molecular Nutrition: Nutrition and the Evolution of Humankind:* Blends coverage of the molecular mechanisms that;

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The Date Palm Genome, Vol. 1

, evolution and origin. Part II, Biodiversity and Molecular Identification, covers conformity of in vitro derived plants, molecular markers, barcoding;

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Bioinformatics and Computational Biology

, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a;

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Molecular Computing and Bioinformatics

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Bioinformatics Research

, molecular recombination structure and evolutionary historical relationships in bioinformatics; gene-gene and gene-environment causal interactions;

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The Evolution of Population Biology

population genetics and population ecology on the one hand and to the rapidly growing fields of molecular quantitative genetics, genomics and;

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The Evolution of Population Biology

population genetics and population ecology on the one hand and to the rapidly growing fields of molecular quantitative genetics, genomics and;

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Evolutionary Genetics of Fungi

This timely book describes the use of molecular techniques and bioinformatics to study the evolutionary genetics of fungi. The focus of the;

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Molecular Evolution

interpretation. Molecular Evolution: a statistical approach presents and explains modern statistical methods and computational algorithms for the;

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Genome Informatics 2009

) Genomics and Systems Biology of Molecular NetworksInternational Research and Training Program on Bioinformatics and Systems Biology, Kyoto;

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Molecular Evolution of Aquatic Organisms' Biomarkers

students and scientists with interests on physiology, ecotoxicology, biochemistry, molecular biology, molecular evolution and aquatic science;

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Basic Applied Bioinformatics

practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the;

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Bioinformatics

, is essential to the use of genomic information in understanding human diseases and in the identification of new molecular targets for drug discovery;

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Theories of Population Variation in Genes and Genomes

, molecular evolution, and theoretical biology--as well as biologists, molecular biologists, breeders, biomathematicians, and biostatisticians;

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Theories of Population Variation in Genes and Genomes

, molecular evolution, and theoretical biology--as well as biologists, molecular biologists, breeders, biomathematicians, and biostatisticians;

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Deep Learning in Bioinformatics

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how;

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