• Part 1: Normalization and Analysis Methods for DNA methylation and ChIP-Seq data.- Part 2: Integrative and Medical Epigenomics.

“This volume in the Translational Bioinformatics series introduces modern computational and statistical tools for translational epigenomic research with a special focus on DNA methylation. … This is a valuable resource for students, clinicians, and researchers who wish to understand the basics of modern computational and statistical tools for translational epigenomics research. The analytical, storage-related, and interpretive methods discussed in this book hold great promise in helping improve prediction, early diagnosis, severity monitoring, therapeutic effect, and prognosis of human diseases.” (Pooja Sethi, Doody’s Book Reviews, July, 2015)

• Part 1: Normalization and Analysis Methods for DNA methylation and ChIP-Seq data.- Part 2: Integrative and Medical Epigenomics.

“This volume in the Translational Bioinformatics series introduces modern computational and statistical tools for translational epigenomic research with a special focus on DNA methylation. … This is a valuable resource for students, clinicians, and researchers who wish to understand the basics of modern computational and statistical tools for translational epigenomics research. The analytical, storage-related, and interpretive methods discussed in this book hold great promise in helping improve prediction, early diagnosis, severity monitoring, therapeutic effect, and prognosis of human diseases.” (Pooja Sethi, Doody’s Book Reviews, July, 2015)

• Part 1: Normalization and Analysis Methods for DNA methylation and ChIP-Seq data.- Part 2: Integrative and Medical Epigenomics.

“This volume in the Translational Bioinformatics series introduces modern computational and statistical tools for translational epigenomic research with a special focus on DNA methylation. … This is a valuable resource for students, clinicians, and researchers who wish to understand the basics of modern computational and statistical tools for translational epigenomics research. The analytical, storage-related, and interpretive methods discussed in this book hold great promise in helping improve prediction, early diagnosis, severity monitoring, therapeutic effect, and prognosis of human diseases.” (Pooja Sethi, Doody’s Book Reviews, July, 2015)