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.
Author(s): Diego A. Forero
Publisher: CRC Press/Science Publishers
Year: 2022
Language: English
Pages: 373
City: Boca Raton
Cover
Title Page
Copyright Page
Preface
Table of 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)
Index
