Computational epigenetics and diseases / edited by Loo Keat Wei.
| Other author | Loo, Keat Wei. |
| Format | Electronic |
| Publication Info | London, United Kingdom ; San Diego, CA : Academic Press, [2019] |
| Description | xx, 430 pages : illustrations ; 25 cm. |
| Supplemental Content | Full text available from eBook - Biochemistry, Genetics and Molecular Biology 2019 |
| Subjects |
| Series | Translational epigenetics ; Volume 9 Translational epigenetics series v. 9. ^A1311478 |
| Contents | Computational Epigenetics and Disease -- Computational Methods for Epigenomics Analysis -- Statistical Approaches for Epigenetic Data Analysis -- Bioinformatics Methodology Development for the Whole Genome Bisulfite Sequencing -- Data Analysis of ChIP-Seq Experiments: Common Practice and Recent Developments -- Computational Tools for MicroRNA Target Prediction -- Integrative Analysis of Epigenomics Data -- Differential DNA Methylation and Network Analysis in Schizophrenia -- Epigenome-Wide DNA Methylation and Histone Modification Profiling in Alzheimer's Disease -- Epigenomic Reprogramming in Cardiovascular Diseases -- Bioinformatic and Biostatistic Methods for DNA Methylome Analysis of Obesity -- Epigenomics of Diabetes Mellitus (Epigenetic Regulations in Diabetes Mellitus) -- Epigenetic Profiling in Head and Neck Cancer -- Epigenome-Wide DNA Methylation Profiles in Oral Cancer -- Computational Epigenetics for Breast Cancer -- Integrative Epigenomics of Prostate Cancer -- Network Analysis of Epigenetics Data for Bladder Cancer -- Epigenome-Wide Analysis of DNA Methylation in Colorectal Cancer -- Integrative OMIC Analysis of Neuroblastoma -- Computational Analysis of Epigenetic Modifications in Melanoma -- DNA Methylome of Endometrial Cancer -- Epigenetics and Epigenomics Analysis for Autoimmune Diseases -- Computational Epigenetics in Lung Cancer |
| Abstract | 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. -- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | ebook version : 9780128145142 |
| Genre/form | Electronic books. |
| LCCN | 2018965276 |
| ISBN | 9780128145135 hardcover |
| ISBN | 0128145137 hardcover |
| ISBN | electronic publication |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |