Computational Epigenetics and Diseases

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Loo Keat Wei (Assistant Professor, Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Malaysia)

Computational Epigenetics and Diseases

Loo Keat Wei (Assistant Professor, Department of Biological Science, Faculty of Science, Universiti Tunku Abdul Rahman, Malaysia)

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English

Academic Press Inc
11 February 2019

Medical research; Personal & public health; Medical genetics; Oncology; Genetic engineering

Series: Translational Epigenetics

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.

Volume editor: Loo Keat Wei (Assistant Professor Department of Biological Science Faculty of Science Universiti Tunku Abdul Rahman Malaysia)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 1.090kg
ISBN: 9780128145135
ISBN 10: 0128145137
Series: Translational Epigenetics
Pages: 450
Publication Date: 11 February 2019
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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

Loo Keat Wei is Doctor of Philosophy on Human Genetics by Universiti Sains Maysia. Dr. Loo is a young scientist in Malaysia, who has showed a great interest and curiosity in the field of computational epigenetics. She has published several articles in this emerging field and has been awarded many prestigious international and national research grants such as Australia Endeavour Award, Ministry of Higher Education Fundamental Research Grant Scheme, Research Publication Schemes, Universiti Tunku Abdul Rahman Research Funds, etc., successfully securing more than USD $200,000 funds in the last three years. She is the member of International Stroke Genetics Consortium, Reviewer and Editorial Board Member in multiple journals.