Editor: Ming Zhan

Computational Biology of Embryonic Stem Cells

eBook: US $34 Special Offer (PDF + Printed Copy): US $136
Printed Copy: US $119
Library License: US $136
ISBN: 978-1-60805-434-3 (Print)
ISBN: 978-1-60805-025-3 (Online)
Year of Publication: 2012
DOI: 10.2174/97816080502531120101

Introduction

Computational biology in combination with large-scale biology has played a critical role in exploring the great potentials of embryonic stem cells, resulting in significant discoveries. This e-book brings together reviews and essays from different aspects of the embryonic stem cell research thus providing a comprehensive and updated introduction and reference specifically for computational biology of embryonic stem cells. Selected topics include focused analyses of the genome, transcriptome, epigenome, proteome, and regulatory network of embryonic stem cells, the theories and tools of computational biology used in these studies, and newly available databases and on-line resources for bioinformatics research. Future perspectives of related research activities are also addressed by various authors in this e- book. The book is a valuable reference and handbook for researchers and clinicians conducting stem cell research, as well as students and medical professionals interested in regenerative medicine, developmental biology, bioinformatics and computational biology.

Indexed in: Book Citation Index, Science Edition, BIOSIS Previews, Scopus, EBSCO.

Foreword

- Pp. i
MahendraRao
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Preface

- Pp. ii-iv (3)
Ming Zhan
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List of Contributors

- Pp. v-ix (5)
Ming Zhan
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A Genetic Network Identification Algorithm Combining Experiment and Computation

- Pp. 3-24 (22)
Ipsita Banerjee, Keith Task and Spandan Maiti

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Causality Reasoning and Discovery for Systems Biology Investigations

- Pp. 25-43 (19)
Yi Liu, Hong Yu and Jing-Dong J. Han

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Exploring Stem Cell Gene Expression Signatures using AutoSOME Cluster Analysis

- Pp. 44-70 (27)
Aaron M. Newman and James B. Cooper

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Image-Enhanced Systems Biology: A Multiscale, Multidimensional Approach to Modeling and Controlling Stem Cell Function

- Pp. 71-87 (17)
George Plopper, Melinda Larsen and Bülent Yener

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Computational Analysis of DNA-Methylation and Application to Human Embryonic Stem Cells

- Pp. 88-108 (21)
Lukas Chavez

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Transcriptional Co-Expression Analysis of Embryonic Stem Cells

- Pp. 109-132 (24)
Yu Sun and Ming Zhan

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Computational Analysis of Alternative Polyadenylation in Embryonic Stem Cells and Induced Pluripotent Cells

- Pp. 133-146 (14)
Zhe Ji, Mainul Hoque and Bin Tian

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Genomics of Alternative Splicing in Stem Cells

- Pp. 147-160 (14)
Stephanie C. Huelga and Gene W. Yeo

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Computational Biology of microRNA-Pluripotency Gene Networks in Embryonic Stem Cells

- Pp. 161-179 (19)
Preethi H. Gunaratne and Jayantha B. Tennakoon

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Role of Translationally Regulated Genes in Embryonic Stem Cell Differentiation: Integration of Transcriptome and Translational State Profiling

- Pp. 180-192 (13)
Qian Yi Lee, Winston Koh, Prabha Sampath and Vivek Tanavde

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Paired SAGE-microarray Expression Data Sets Reveal Antisense Transcripts Differentially Expressed in Embryonic Stem Cell Differentiation

- Pp. 193-215 (23)
Reatha Sandie, Christopher J. Porter, Gareth A. Palidwor, Feodor Price, Paul M. Krzyzanowski, Enrique M. Muro, Sebastian Hoersch, Mandy Smith, Pearl A. Campbell, Carolina Perez-Iratxeta, Michael A. Rudnicki and Miguel A. Andrade-Navarro

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Computational Analysis of ChIP-seq Data and Its Application to Embryonic Stem Cells

- Pp. 216-229 (14)
Xu Han and Lin Feng

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The FunGenES Database: A Reference and Discovery Tool for Embryonic Stem Cells and their Derivatives

- Pp. 230-245 (16)
Antonis K. Hatzopoulos

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Index

- Pp. 246-250 (5)
Ming Zhan
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