Bioinformatics and Human Genomics Research

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Bioinformatics and Human Genomics Research

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 368 p.
  • 言語 ENG
  • 商品コード 9781032028934
  • DDC分類 570.285

Full Description

Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for the analysis of these genomic studies. The book Bioinformatics and Human Genomics Research provides updated and comprehensive information about multiple approaches of the application of bioinformatic tools to research in human genomics. It covers strategies analysis of genome-wide association studies, genome-wide
expression studies and genome-wide DNA methylation, among other topics. It provides interesting strategies for data mining in human genomics, network analysis, prediction of binding sites for miRNAs and transcription factors, among other themes. Experts from all around the world in bioinformatics and human genomics have contributed chapters in this book. Readers will find this book as quite useful for their in silico explorations, which would contribute to a better and deeper understanding of multiple biological processes and of pathophysiology of many human diseases.

Contents

1. Bioinformatics and Human Genomics Research: An Introduction 2. Bioinformatics of Genome Annotation 3. Protein Function Prediction: Human Sequences and Structures 4. Bioinformatics and Genomic Data Mining 5. Bioinformatics of Genome-wide Expression Studies 6. Whole-genome Sequencing: From Samples to Variants and Beyond 7. Bioinformatics for Whole Exome Studies 8. Bioinformatics of Variant Effect Prediction 9. Bioinformatics of Genome-wide DNA Methylation Studies 10. Bioinformatics of Transcription Factor Binding Prediction 11. Bioinformatics of Prediction of Secondary Structures of Non-coding RNAs 12. Bioinformatics of microRNA Target Prediction 13. Bioinformatics and Network Analysis of Biological Data 14. Bioinformatics of Functional Categories Enrichment 15. Bioinformatics of Meta-analyses of Genomic Data 16. Clinical Data Integration with Cancer Genomics: Insights Into Computational and Quantitative Methods 17. Bioinformatics of Correction of Multiple Testing: An Introduction for Life Scientists (in Bioinformatics and Human Genomics Research)

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