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COMPUTATIONAL EPIGENETICS AND DISEASES, VOLUME 9 By Loo Keat Wei - Hardcover VG+ - Picture 1 of 2
COMPUTATIONAL EPIGENETICS AND DISEASES, VOLUME 9 By Loo Keat Wei - Hardcover VG+ - Picture 2 of 2
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COMPUTATIONAL EPIGENETICS AND DISEASES, VOLUME 9 By Loo Keat Wei - Hardcover VG+

HTK Enterprises
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Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Computational Epigenetics and Diseases, Volume 9 (Translational
Item Height
9.3 inches
ISBN-10
0128145137
Item Weight
2.4 pounds
ISBN
9780128145135

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0128145137
ISBN-13
9780128145135
eBay Product ID (ePID)
2309826058

Product Key Features

Number of Pages
Xx, 430 Pages
Publication Name
Computational Epigenetics and Diseases
Language
English
Publication Year
2019
Subject
Biotechnology, Life Sciences / Genetics & Genomics, Industries / Pharmaceutical & Biotechnology
Type
Textbook
Subject Area
Science, Business & Economics, Medical
Author
Loo Keat Wei
Series
Translational Epigenetics Ser.
Format
Hardcover

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2018-965276
Series Volume Number
Volume 9
Volume Number
Volume 9
Illustrated
Yes
Table Of Content
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
Synopsis
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. 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, 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.
LC Classification Number
QH450.C658 2019

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