COMPUTATIONAL EPIGENETICS AND DISEASES, VOLUME 9

COMPUTATIONAL EPIGENETICS AND DISEASES, VOLUME 9

Editorial:
ACADEMIC PRESS
Año de edición:
Materia
Farmacia
ISBN:
978-0-12-814513-5
Páginas:
450
N. de edición:
1
Idioma:
Inglés
Disponibilidad:
Disponible en 10 días

Descuento:

-5%

Antes:

136,30 €

Despues:

129,49 €

1. Computational Epigenetics and Disease
2. Computational Methods for Epigenomics Analysis
3. Statistical Approaches for Epigenetic Data Analysis
4. Bioinformatics Methodology Development for the Whole Genome Bisulfite Sequencing
5. Data Analysis of ChIP-Seq Experiments: Common Practice and Recent Developments
6. Computational Tools for MicroRNA Target Prediction
7. Integrative Analysis of Epigenomics Data
8. Differential DNA Methylation and Network Analysis in Schizophrenia
9. Epigenome-Wide DNA Methylation and Histone Modification Profiling in Alzheimer's Disease
10. Epigenomic Reprogramming in Cardiovascular Diseases
11. Bioinformatic and Biostatistic Methods for DNA Methylome Analysis of Obesity
12. Epigenomics of Diabetes Mellitus (Epigenetic Regulations in Diabetes Mellitus)
13. Epigenetic Profiling in Head and Neck Cancer
14. Epigenome-Wide DNA Methylation Profiles in Oral Cancer
15. Computational Epigenetics for Breast Cancer
16. Integrative Epigenomics of Prostate Cancer
17. Network Analysis of Epigenetics Data for Bladder Cancer
18. Epigenome-Wide Analysis of DNA Methylation in Colorectal Cancer
19. Integrative OMIC Analysis of Neuroblastoma
20. Computational Analysis of Epigenetic Modifications in Melanoma
21. DNA Methylome of Endometrial Cancer
22. Epigenetics and Epigenomics Analysis for Autoimmune Diseases
23. Computational Epigenetics in Lung Cancer

• 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