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Computational Epigenetics and Diseases

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Computational Epigenetics and Diseases

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Description

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.

Author Biography:

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.
Release date NZ
February 11th, 2019
Audience
  • Professional & Vocational
Contributor
  • Volume editor Loo Keat Wei
Pages
450
ISBN-13
9780128145135
Product ID
28484042

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