Computational and statistical epigenomics / Andrew E. Teschendorff, editor -- Dordrecht : Springer, 2015. – (58.1481/C738)

Contents

Part I  Normalization and Analysis Methods for DNA Methylation and ChIP-Seq Data

1  Introduction to Data Types in Epigenomics

2  DNA Methylation and Cell-Type Distribution

3  A General Strategy for Inter-sample Variability Assessment and Normalisation

4  Quantitative Comparison of ChIP-Seq Data Sets Using MAnorm

5  Model-Based Clustering of DNA Methylation Array Data

Part II  Integrative and Medical Epigenomics

6  Integrative Epigenomics

7  Towards a Mechanistic Understanding of Epigenetic Dynamics

8  Systems Epigenomics and Applications to Ageing and Cancer

9  Epigenomic Biomarkers for the Advance of Personalized Medicine