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Computational Biology of Transcription Factor Binding Istvan Ladunga

Computational Biology of Transcription Factor Binding By Istvan Ladunga

Computational Biology of Transcription Factor Binding by Istvan Ladunga


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Summary

Now we can accurately predict cis-regulatory modules, conserved cl- ters of binding sites (Chapters 13 and 15), partly based on high-throughput ch- matin immunoprecipitation experiments in which tens of millions of DNA segments are sequenced by massively parallel, next-generation sequencers (ChIP-seq, Chapters 9, 10, and 11).

Computational Biology of Transcription Factor Binding Summary

Computational Biology of Transcription Factor Binding by Istvan Ladunga

Transcriptional regulation controls the basic processes of life. Its complex, dynamic, and hierarchical networks control the momentary availability of messenger RNAs for protein synthesis. Transcriptional regulation is key to cell division, development, tissue differen- ation, and cancer as discussed in Chapters 1 and 2. We have witnessed rapid, major developments at the intersection of computational biology, experimental technology, and statistics. A decade ago, researches were struggling with notoriously challenging predictions of isolated binding sites from low-throughput experiments. Now we can accurately predict cis-regulatory modules, conserved cl- ters of binding sites (Chapters 13 and 15), partly based on high-throughput ch- matin immunoprecipitation experiments in which tens of millions of DNA segments are sequenced by massively parallel, next-generation sequencers (ChIP-seq, Chapters 9, 10, and 11). These spectacular developments have allowed for the genome-wide mappings of tens of thousands of transcription factor binding sites in yeast, bacteria, mammals, insects, worms, and plants. Please also note the no less spectacular failures in many laboratories around the world.

Computational Biology of Transcription Factor Binding Reviews

From the reviews:

Gives us an overview of transcription and its regulation. ... The methods are very up-to-date and clearly presented by authors ... . The use of tools for predicting transcription factors binding sites is also very carefully presented in a text that is accessible for beginners ... . In summary, this book presents an important tool for entering the growing field of bioinformatics and its use for the study of transcription. ... If we cannot read all books ever written, this one is a good choice. (Carla Columbano Oliveira, Brazilian Journal of Pharmaceutical Sciences, Vol. 47 (2), Summer, 2011)

Table of Contents

1. An Overview of the Computational Analyses and Discovery of Transcription Factor Binding Sites Istvan Ladunga 2. Components and Mechanisms of Regulation of Gene Expression Alper Yilmaz and Erich Grotewold 3. Regulatory Regions in DNA: Promoters, Enhancers, Silencers, and Insulators Jean-Jack M. Riethoven 4. Three-Dimensional Structures of DNA-Bound Transcriptional Regulators Tripti Shrivastava and Tahir H. Tahirov 5. Identification of Promoter Regions and Regulatory Sites Victor V. Solovyev, Ilham A. Shahmuradov, and Asaf A. Salamov 6. Motif Discovery Using Expectation Maximization and Gibbs' Sampling Gary D. Stormo 7. Probabilistic Approaches to Transcription Factor Binding Site Prediction Stefan Posch, Jan Grau, Andre Gohr, Jens Keilwagen, and Ivo Grosse 8. The Motif Tool Assessment Platform (MTAP) for Sequence-Based Transcription Factor Binding Site Prediction Tools Daniel Quest and Hesham Ali 9. Computational Analysis of ChIP-seq Data Hongkai Ji 10. Probabilistic Peak Calling and Controlling False Discovery Rate Estimations in Transcription Factor Binding Site Mapping from ChIP-seq Shuo Jiao, Cheryl P. Bailey, Shunpu Zhang, and Istvan Ladunga 11. Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors Kenzie D. MacIsaac and Ernest Fraenkel 12. Inferring Protein-DNA Interaction Parameters from SELEX Experiments Marko Djordjevic 13. Kernel-Based Identification of Regulatory Modules Sebastian J. Schultheiss 14. Identification of Transcription Factor Binding Sites Derived from Transposable Element Sequences Using ChIP-seq Andrew B. Conley and I. King Jordan 15. Target Gene Identification via Nuclear Receptor Binding Site Prediction Gabor Varga 16. Computing Chromosome Conformation James Fraser, Mathieu Rousseau, Mathieu Blanchette, and Josee Dostie 17. Large-Scale Identification and Analysis of C-Proteins Valery Sorokin, Konstantin Severinov, and Mikhail S. Gelfand 18. Evolution of cis-RegulatorySequences in Drosophila Xin He and Saurabh Sinha 19. Regulating the Regulators: Modulators of Transcription Factor Activity Logan Everett, Matthew Hansen, and Sridhar Hannenhalli 20. Annotating the Regulatory Genome Stephen B. Montgomery, Katayoon Kasaian, Steven J.M. Jones, and Obi L. Griffith 21. Computational Identification of Plant Transcription Factors and the Construction of the PlantTFDB Database Kun He, An-Yuan Guo, Ge Gao, Qi-Hui Zhu, Xiao-Chuan Liu, He Zhang, Xin Chen, Xiaocheng Gu, and Jingchu Luo 22. Practical Computational Methods for Regulatory Genomics: A cisGRN-Lexicon and cisGRN-Browser for Gene Regulatory Networks Sorin Istrail, Ryan Tarpine, Kyle Schutter, and Derek Aguiar 23. Reconstructing Transcriptional Regulatory Networks Using Three-Way Mutual Information and Bayesian Networks Weijun Luo and Peter J. Woolf 24. Computational Methods for Analyzing Dynamic Regulatory Networks Anthony Gitter, Yong Lu, and Ziv Bar-Joseph

Additional information

NLS9781493961665
9781493961665
1493961667
Computational Biology of Transcription Factor Binding by Istvan Ladunga
New
Paperback
Humana Press Inc.
2016-08-23
454
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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