Postura Y Rendimiento. Guía Visual Para El Entrenamiento Del Caballo


Postura Y Rendimiento. Guía Visual Para El Entrenamiento Del Caballo

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Reseña del editor This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering primary pattern analysis and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays genotyping microarrays next-generation sequencing data epigenomic data and biological network and semantic analyses. In addition detailed attention is devoted to integrative genomic data analysis including multivariate data projection gene-metabolic pathway mapping automated biomolecular annotation text mining of factual and literature databases and integrated management of biomolecular databases. The textbook is primarily intended for life scientists medical scientists statisticians data processing researchers engineers and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However it will also serve as a simple guideline for experts unfamiliar with the new developing subfield of genomic analysis within bioinformatics. Contraportada This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering primary pattern analysis and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays genotyping microarrays next-generation sequencing data epigenomic data and biological network and semantic analyses. In addition detailed attention is devoted to integrative genomic data analysis including multivariate data projection gene-metabolic pathway mapping automated biomolecular annotation text mining of factual and literature databases and integrated management of biomolecular databases. This textbook is primarily intended for life scientists medical scientists statisticians data processing researchers engineers and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However it will also serve as a simple guideline for experts unfamiliar with the new developing subfield of genomic analysis within bioinformatics. Biografía del autor Professor. Ju Han Kim Division of Biomedical Informatics Seoul National University College of Medicine Seoul South Korea.

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