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Computational Biology of Transcription Factor Binding

Aus der Reihe Methods in Molecular Biology
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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.09.2010

Abbildungen

XI, 454 p.

Herausgeber

Istvan Ladunga

Verlag

Humana Press

Seitenzahl

454

Maße (L/B/H)

26/18,3/2,9 cm

Gewicht

1176 g

Sprache

Englisch

ISBN

978-1-60761-853-9

Beschreibung

Rezension

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)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.09.2010

Abbildungen

XI, 454 p.

Herausgeber

Istvan Ladunga

Verlag

Humana Press

Seitenzahl

454

Maße (L/B/H)

26/18,3/2,9 cm

Gewicht

1176 g

Sprache

Englisch

ISBN

978-1-60761-853-9

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Biology of Transcription Factor Binding
  • Produktbild: Computational Biology of Transcription Factor Binding
  • An Overview of the Computational Analyses and Discovery of Transcription Factor Binding Sites.- Components and Mechanisms of Regulation of Gene Expression.- Regulatory Regions in DNA: Promoters, Enhancers, Silencers, and Insulators.- Three-Dimensional Structures of DNA-Bound Transcriptional Regulators.- Identification of Promoter Regions and Regulatory Sites.- Motif Discovery Using Expectation Maximization and Gibbs’ Sampling.- Probabilistic Approaches to Transcription Factor Binding Site Prediction.- The Motif Tool Assessment Platform (MTAP) for Sequence-Based Transcription Factor Binding Site Prediction Tools.- Computational Analysis of ChIP-seq Data.- Probabilistic Peak Calling and Controlling False Discovery Rate Estimations in Transcription Factor Binding Site Mapping from ChIP-seq.- Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors.- Inferring Protein–DNA Interaction Parameters from SELEX Experiments.- Kernel-Based Identification of Regulatory Modules.- Identification of Transcription Factor Binding Sites Derived from Transposable Element Sequences Using ChIP-seq.- Target Gene Identification via Nuclear Receptor Binding Site Prediction.- Computing Chromosome Conformation.- Large-Scale Identification and Analysis of C-Proteins.- Evolution of cis-Regulatory Sequences in Drosophila.- Regulating the Regulators: Modulators of Transcription Factor Activity.- Annotating the Regulatory Genome.- Computational Identification of Plant Transcription Factors and the Construction of the PlantTFDB Database.- Practical Computational Methods for Regulatory Genomics: A cisGRN-Lexicon and cisGRN-Browser for Gene Regulatory Networks.- Reconstructing Transcriptional Regulatory Networks Using Three-Way Mutual Information and Bayesian Networks.-Computational Methods for Analyzing Dynamic Regulatory Networks.