| Description |
1 online resource (xx, 430 pages) |
| Series |
Translational epigenetics series ; Volume 9 |
|
Translational epigenetics series ; v. 9.
|
| Contents |
Computational epigenetics and disease / Loo Keat Wei -- Computational methods for epigenomic analysis / Ho-Ryun Chung -- Statistical approaches for epigenetic data analysis / Thorsten Dickhaus -- Bioinformatics methodology development for the whole genome bisulfite sequencing / Deqiang Sun -- Data analysis of ChIP-Seq experiments: common practice and recent developments / Qi Zhang -- Computational tools for microRNA target prediction / Nurul-Syakima Ab Mutalib, Siti Aishah Sulaiman and Rahman Jamal -- Integrative analysis of epigenomics data / Cenny Taslim, Stephen L. Lessnick and Simon Lin -- Differential DNA methylation and network analysis in schizophrenia / Huang Kuo Chuan -- Epigenome-wide DNA methylation and histone modification of Alzheimer's disease / Ankush Bansal and Tiratha Raj Singh -- Epigenomic reprogramming in cardiovascular disease / Yang Zhou, Jiandong Liu and Li Qian -- Bioinformatic and biostatistic methods for DNA methylome analysis of obesity / Sarah Amandine Caroline Voisin -- Epigenomics of diabetes mellitus / Ivanka Dimova -- Epigenetic profiling in head and neck cancer / Javed Hussain Choudhury, Sharbadeb Kundu, Fazlur Rahaman Talukdar, Ruhina S. Laskar, Raima Das, Shaheen Laskar, Bishal Dhar, Manish Kumar, Sharad Ghosh, Rosy Mondal, Yashmin Choudhury, Sankar Kumar Shosh -- Epigenome-wide DNA methylation profiles in oral cancer / Raghunath Chatterjee, Shantanab Das, Aditi Chandra, Baidehi Basu -- Computational epigenetics for breast cancer / Juan Xu, Yongsheng Li, Tingting Shao, Xia Li -- Integrative epigenomics of prostate cancer / Madonna Peter, Shivani Kamdar and Bharati Bapat -- Network analysis of epigenetic data for bladder cancer / Bor-Sen Chen -- Epigenome-wide analysis of DNA methylation in colorectal cancer / Nurul-Syakima Ab Mutalib, Rashidah Baharuddin and Rahman Jamal -- Integrative omic analysis of neuroblastoma / Kamalakannan Palanichamy -- Computational analysis of epigenetic modifications in melanoma / Ming Tang and Kunal Rai -- DNA methylome of endometrial cancer / Golnaz Asaadi Tehrani -- Epigenetics and epigenomics analysis for autoimmune diseases / Bhawna Gupta, Kumar Sagar Jaiswal, Arup Shosh, Sunil Kumar Raghav -- Computational epigenetics in lung cancer / S. Babichev, V. Lytvynenko, M. Korobchynskyi, I. Sokur |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed February 13, 2019) |
| Subject |
Epigenetics.
|
|
Epigenetics -- Data processing
|
|
Bioinformatics.
|
|
Epigenomics -- methods
|
|
Computational Biology
|
|
SCIENCE -- Life Sciences -- Biochemistry.
|
|
Bioinformatics
|
|
Epigenetics
|
| Form |
Electronic book
|
| Author |
Wei, Loo Keat, editor
|
| ISBN |
9780128145142 |
|
0128145145 |
|
