Computational and Statistical Epigenomics

Nonfiction, Science & Nature, Science, Biological Sciences, Physiology
Cover of the book Computational and Statistical Epigenomics by , Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789401799270
Publisher: Springer Netherlands Publication: May 12, 2015
Imprint: Springer Language: English
Author:
ISBN: 9789401799270
Publisher: Springer Netherlands
Publication: May 12, 2015
Imprint: Springer
Language: English

This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.

Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike.

Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.

More books from Springer Netherlands

Cover of the book The Principle of Proportionality by
Cover of the book Syntactic Change in Medieval French by
Cover of the book Tissue Engineering by
Cover of the book Drought and Drought Mitigation in Europe by
Cover of the book A Critical Companion to Zoosemiotics: by
Cover of the book Handbook of Sustainable Travel by
Cover of the book Imaging Spectrometry -- a Tool for Environmental Observations by
Cover of the book Qanat Knowledge by
Cover of the book What’s New in Anesthesiology by
Cover of the book Investigating Quality of Urban Life by
Cover of the book Environmental Sustainability Issues in the South Texas–Mexico Border Region by
Cover of the book The Professional Knowledge Base of Science Teaching by
Cover of the book Developments in Soil Salinity Assessment and Reclamation by
Cover of the book Economic Models of Material-Product Chains for Environmental Policy Analysis by
Cover of the book Forest Genetics and Sustainability by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy