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Computational Biology of Transcription Factor Binding

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Cover of 'Computational Biology of Transcription Factor Binding'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Overview of the Computational Analyses and Discovery of Transcription Factor Binding Sites
  3. Altmetric Badge
    Chapter 2 Components and mechanisms of regulation of gene expression.
  4. Altmetric Badge
    Chapter 3 Regulatory Regions in DNA: Promoters, Enhancers, Silencers, and Insulators
  5. Altmetric Badge
    Chapter 4 Three-Dimensional Structures of DNA-Bound Transcriptional Regulators
  6. Altmetric Badge
    Chapter 5 Computational Biology of Transcription Factor Binding
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    Chapter 6 Motif Discovery Using Expectation Maximization and Gibbs’ Sampling
  8. Altmetric Badge
    Chapter 7 Probabilistic Approaches to Transcription Factor Binding Site Prediction
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    Chapter 8 The Motif Tool Assessment Platform (MTAP) for Sequence-Based Transcription Factor Binding Site Prediction Tools
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    Chapter 9 Computational Analysis of ChIP-seq Data
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    Chapter 10 Probabilistic Peak Calling and Controlling False Discovery Rate Estimations in Transcription Factor Binding Site Mapping from ChIP-seq
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    Chapter 11 Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors
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    Chapter 12 Inferring Protein–DNA Interaction Parameters from SELEX Experiments
  14. Altmetric Badge
    Chapter 13 Kernel-Based Identification of Regulatory Modules
  15. Altmetric Badge
    Chapter 14 Identification of Transcription Factor Binding Sites Derived from Transposable Element Sequences Using ChIP-seq
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    Chapter 15 Target Gene Identification via Nuclear Receptor Binding Site Prediction
  17. Altmetric Badge
    Chapter 16 Computing Chromosome Conformation
  18. Altmetric Badge
    Chapter 17 Large-Scale Identification and Analysis of C-Proteins
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    Chapter 18 Evolution of cis -Regulatory Sequences in Drosophila
  20. Altmetric Badge
    Chapter 19 Regulating the Regulators: Modulators of Transcription Factor Activity
  21. Altmetric Badge
    Chapter 20 Annotating the Regulatory Genome
  22. Altmetric Badge
    Chapter 21 Computational Identification of Plant Transcription Factors and the Construction of the PlantTFDB Database
  23. Altmetric Badge
    Chapter 22 Practical Computational Methods for Regulatory Genomics: A cis GRN-Lexicon and cis GRN-Browser for Gene Regulatory Networks
  24. Altmetric Badge
    Chapter 23 Reconstructing Transcriptional Regulatory Networks Using Three-Way Mutual Information and Bayesian Networks
  25. Altmetric Badge
    Chapter 24 Computational Biology of Transcription Factor Binding
Attention for Chapter 11: Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors
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Chapter title
Sequence Analysis of Chromatin Immunoprecipitation Data for Transcription Factors
Chapter number 11
Book title
Computational Biology of Transcription Factor Binding
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-854-6_11
Pubmed ID
Book ISBNs
978-1-60761-853-9, 978-1-60761-854-6
Authors

Kenzie D. MacIsaac, Ernest Fraenkel, MacIsaac, Kenzie D., Fraenkel, Ernest

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
France 1 5%
Australia 1 5%
Unknown 17 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 33%
Student > Ph. D. Student 5 24%
Student > Bachelor 4 19%
Professor 2 10%
Student > Master 1 5%
Other 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 57%
Biochemistry, Genetics and Molecular Biology 2 10%
Computer Science 2 10%
Engineering 2 10%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2022.
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#15,452,475
of 22,962,258 outputs
Outputs from Methods in molecular biology
#5,372
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Outputs of similar age
#135,254
of 164,735 outputs
Outputs of similar age from Methods in molecular biology
#88
of 120 outputs
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