Computational Epigenetics and Diseases Translational Epigenetics Series

Computational Epigenetics and Diseases, written by leading scientists in this evolving field,provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases. In particular, the major computational tools, databases, and strategies for computational epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human diseases.

This book discusses bioinformatics methods for epigenetic analysis specifically applied to human conditions such as aging, atherosclerosis, diabetes mellitus, schizophrenia, bipolar disorder, Alzheimer disease, Parkinson disease, liver and autoimmune disorders, and reproductive and respiratory diseases. Additionally, different organ cancers, such as breast, lung, and colon, are discussed.

This book is a valuable source for graduate students and researchers in genetics and bioinformatics, and several biomedical field members interested in applying computational epigenetics in their research.

1. Computational Epigenetics and Disease2. Computational Methods for Epigenomics Analysis3. Statistical Approaches for Epigenetic Data Analysis4. Bioinformatics Methodology Development for the Whole Genome Bisulfite Sequencing5. Data Analysis of ChIP-Seq Experiments: Common Practice and Recent Developments6. Computational Tools for MicroRNA Target Prediction7. Integrative Analysis of Epigenomics Data8. Differential DNA Methylation and Network Analysis in Schizophrenia 9. Epigenome-Wide DNA Methylation and Histone Modification Profiling in Alzheimer's Disease10. Epigenomic Reprogramming in Cardiovascular Diseases11. Bioinformatic and Biostatistic Methods for DNA Methylome Analysis of Obesity12. Epigenomics of Diabetes Mellitus (Epigenetic Regulations in Diabetes Mellitus)13. Epigenetic Profiling in Head and Neck Cancer14. Epigenome-Wide DNA Methylation Profiles in Oral Cancer15. Computational Epigenetics for Breast Cancer16. Integrative Epigenomics of Prostate Cancer17. Network Analysis of Epigenetics Data for Bladder Cancer18. Epigenome-Wide Analysis of DNA Methylation in Colorectal Cancer 19. Integrative OMIC Analysis of Neuroblastoma20. Computational Analysis of Epigenetic Modifications in Melanoma21. DNA Methylome of Endometrial Cancer22. Epigenetics and Epigenomics Analysis for Autoimmune Diseases23. Computational Epigenetics in Lung Cancer

graduate students on bioinformatics and genetics, bioinformaticians, healthcare professionals, pharmacologists, physicians.

• Provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases
• Summarizes the major computational tools, databases, and strategies for computational epigenetics analysis, such as DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA
• Covers the major milestones and future directions of computational epigenetics in various kinds of human diseases such as aging, atherosclerosis, diabetes, heart disease, neurological disorders, cancers, blood disorders, liver diseases, reproductive diseases, respiratory diseases, autoimmune diseases, human imprinting disorders, and infectious diseases