Computational Biology of Embryonic Stem Cells 1st Edition by Ming Zhan ISBN 978-1608054343 1608054349

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Product details: 

ISBN 10:  1608054349

ISBN 13: 978-1608054343

Author:  Ming Zhan

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 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 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.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 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 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.

Table of contents: 

1. Genetic Network Recognition Algorithm Combining Experimentation and Computation
   I. Banerjee, K. Task, and S. Maiti

2. Causal Inference and Discovery for Systematic Biological Investigations
   Y. Liu, H. Yu, and J-D J. Han

3. Exploring Stem Cell Gene Expression Signatures Using Auto SOM Clustering Analysis
   M. Newman and J. B. Cooper

4. Enhanced Systems Biology Imaging: A Multiscale, Multidimensional Approach for Modeling and Controlling Stem Cell Function
   G. Plopper, M. Larsen, and B. Yener

5. Computational Analysis of DNA Methylation and its Application to Human Embryonic Stem Cells
   L. Chavez

6. Analysis of Co-expression of Transcription in Embryonic Stem Cells
   Y. Sun and M. Zhan
7. Computational Analysis of Alternative Polyadenylation in Embryonic Stem Cells and Induced Pluripotent Stem Cells
   Z. Ji, M. Hoque, and B. Tian
8. Genetics of Alternative Splicing in Stem Cells
   S. C. Huelga and G. W. Yeo
9. Computational Biology of the Pluripotent MicroRNA Gene Network in Embryonic Stem Cells
   P. H. Gunaratne and J. B. Tennakoon
10. The Role of Translationally Regulated Genes in Embryonic Stem Cell Differentiation: Integrating Transcript and Translational State Profiles
    Q.Y. Lee, W. Koh, P. Sampath, and V. Tanavde
11. SAGE-microarray Expression Dataset Reveals Differentially Expressed Antisense Transcripts during Embryonic Stem Cell Differentiation
    R. Sandie, C. J. Porter, G. 4. Palidwor, F. Price, P. M. Krzyzanowski, E. M. Muro, S. Hoersch, M. Smith, P. A. Campbell, C. Perez-Iratxeta, M. A. Rudnicki, and M. A. Andrade-Navarro
12. Computational Analysis of ChIP-seq Data and Its Application to Embryonic Stem Cells
    X. Han and L. Feng
13. FunGenES Database: A Reference and Exploration Tool for Embryonic Stem Cells and Their Derivatives
    A. K. Hatzopoulos

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Tags: Ming Zhan, Computational Biology, Embryonic Stem