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Network Biology

Overview of attention for book
Cover of 'Network Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis of protein-protein interactions using high-throughput yeast two-hybrid screens.
  3. Altmetric Badge
    Chapter 2 Identification of mammalian protein complexes by lentiviral-based affinity purification and mass spectrometry.
  4. Altmetric Badge
    Chapter 3 Protein networks involved in vesicle fusion, transport, and storage revealed by array-based proteomics.
  5. Altmetric Badge
    Chapter 4 Identification and relative quantification of native and proteolytically generated protein C-termini from complex proteomes: C-terminome analysis.
  6. Altmetric Badge
    Chapter 5 Construction of protein interaction networks based on the label-free quantitative proteomics.
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    Chapter 6 Studying binding specificities of peptide recognition modules by high-throughput phage display selections.
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    Chapter 7 Array-based synthetic genetic screens to map bacterial pathways and functional networks in Escherichia coli.
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    Chapter 8 Advanced methods for high-throughput microscopy screening of genetically modified yeast libraries.
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    Chapter 9 Pooled lentiviral shRNA screening for functional genomics in mammalian cells.
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    Chapter 10 Plant DNA sequencing for phylogenetic analyses: from plants to sequences.
  12. Altmetric Badge
    Chapter 11 Using coevolution to predict protein-protein interactions.
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    Chapter 12 Visualizing gene-set enrichment results using the Cytoscape plug-in enrichment map.
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    Chapter 13 Quality control methodology for high-throughput protein-protein interaction screening.
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    Chapter 14 Filtering and interpreting large-scale experimental protein-protein interaction data.
  16. Altmetric Badge
    Chapter 15 Classification of Cancer Patients Using Pathway Analysis and Network Clustering
  17. Altmetric Badge
    Chapter 16 Statistical analysis of dynamic transcriptional regulatory network structure.
  18. Altmetric Badge
    Chapter 17 Imputing and predicting quantitative genetic interactions in epistatic MAPs.
  19. Altmetric Badge
    Chapter 18 Displaying chemical information on a biological network using Cytoscape.
  20. Altmetric Badge
    Chapter 19 Modeling of proteins and their assemblies with the integrative modeling platform.
  21. Altmetric Badge
    Chapter 20 Predicting node characteristics from molecular networks.
  22. Altmetric Badge
    Chapter 21 Mathematical modeling of biomolecular network dynamics.
Attention for Chapter 16: Statistical analysis of dynamic transcriptional regulatory network structure.
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Chapter title
Statistical analysis of dynamic transcriptional regulatory network structure.
Chapter number 16
Book title
Network Biology
Published in
Methods in molecular biology, July 2011
DOI 10.1007/978-1-61779-276-2_16
Pubmed ID
21877289
Book ISBNs
978-1-61779-275-5, 978-1-61779-276-2
Authors

Smith JJ, Saleem RA, Aitchison JD, Jennifer J. Smith, Ramsey A. Saleem, John D. Aitchison

Editors

Gerard Cagney, Andrew Emili

Abstract

Here, we present a detailed method for generating a dynamic transcriptional regulatory network from large-scale chromatin immunoprecipitation data, and functional analysis of participating factors through the identification and characterization of significantly overrepresented multi-input motifs in the network. This is done by visualizing interactive data using a network analysis tool, such as Cytoscape, clustering DNA targets of the transcription factors based on their network topologies, and statistically analyzing each cluster based on its size and properties of its members. These analyses yield testable predictions about the conditional and cooperative functions of the factors. This is a versatile approach that allows the visualization of network architecture on a genome-wide level and is applicable to understanding combinatorial control mechanisms of DNA-binding regulators that conditionally cooperate in a wide variety of biological models.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 13%
Chile 1 13%
Sweden 1 13%
Unknown 5 63%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Unspecified 1 13%
Professor 1 13%
Other 1 13%
Student > Master 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Computer Science 1 13%
Chemistry 1 13%
Other 0 0%
Unknown 2 25%
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 12 August 2013.
All research outputs
#15,276,424
of 22,716,996 outputs
Outputs from Methods in molecular biology
#5,305
of 13,080 outputs
Outputs of similar age
#84,001
of 117,039 outputs
Outputs of similar age from Methods in molecular biology
#16
of 32 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,080 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 117,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.

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