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Polycomb Group Proteins

Overview of attention for book
Cover of 'Polycomb Group Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Polycomb Group Proteins
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    Chapter 2 Polycomb Group Proteins
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    Chapter 3 Polycomb Group Proteins
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    Chapter 4 Polycomb Group Proteins
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    Chapter 5 Polycomb Group Proteins
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    Chapter 6 Polycomb Group Proteins
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    Chapter 7 Polycomb Group Proteins
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    Chapter 8 Polycomb Group Proteins
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    Chapter 9 Polycomb Group Proteins
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    Chapter 10 Polycomb Group Proteins
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    Chapter 11 Polycomb Group Proteins
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    Chapter 12 The Dynamics of Polycomb Complexes.
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    Chapter 13 Polycomb Group Proteins
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    Chapter 14 Analysis of Endogenous Protein Interactions of Polycomb Group of Proteins in Mouse Embryonic Stem Cells.
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    Chapter 15 Polycomb Group Proteins
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    Chapter 16 An Automatic Segmentation Method Combining an Active Contour Model and a Classification Technique for Detecting Polycomb-group Proteinsin High-Throughput Microscopy Images.
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    Chapter 17 Polycomb Group Proteins
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    Chapter 18 Polycomb Group Proteins
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    Chapter 19 Polycomb Group Proteins
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    Chapter 20 Polycomb Group Proteins
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    Chapter 21 Polycomb Group Proteins
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    Chapter 22 Polycomb Group Proteins
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    Chapter 23 A Rapid TALEN Assembly Protocol.
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    Chapter 24 Polycomb Group Proteins
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    Chapter 25 Polycomb Group Proteins
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    Chapter 26 Polycomb Group Proteins
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    Chapter 27 Polycomb Group Proteins
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    Chapter 28 Erratum to: Chromatin Preparation and Chromatin Immuno-precipitation from Drosophila Embryos
Attention for Chapter 21: Polycomb Group Proteins
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Chapter title
Polycomb Group Proteins
Chapter number 21
Book title
Polycomb Group Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6380-5_21
Pubmed ID
Book ISBNs
978-1-4939-6378-2, 978-1-4939-6380-5
Authors

Leblanc, Benjamin, Comet, Itys, Bantignies, Frédéric, Cavalli, Giacomo, Benjamin Leblanc, Itys Comet, Frédéric Bantignies, Giacomo Cavalli

Editors

Chiara Lanzuolo, Beatrice Bodega

Abstract

4C methods are useful to investigate dependencies between regulatory mechanisms and chromatin structures by revealing the frequency of chromatin contacts between a locus of interest and remote sequences on the chromosome. In this chapter we describe a protocol for the data analysis of microarray-based 4C experiments, presenting updated versions of the methods we used in a previous study of the large-scale chromatin interaction profile of a Polycomb response element in Drosophila. The protocol covers data preparation, normalization, microarray probe selection, and the multi-resolution detection of regions with enriched chromatin contacts. A reanalysis of two independent mouse datasets illustrates the versatility of this protocol and the importance of data processing in 4C. Methods were implemented in the R package MRA.TA (Multi-Resolution Analyses on Tiling Array data), and they can be used to analyze ChIP-on-chip data on broadly distributed chromatin components such as histone marks.

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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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Bachelor 2 14%
Student > Ph. D. Student 2 14%
Student > Master 1 7%
Professor 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 43%
Biochemistry, Genetics and Molecular Biology 5 36%
Medicine and Dentistry 1 7%
Unknown 2 14%
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 24 September 2016.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from Methods in molecular biology
#5,555
of 13,410 outputs
Outputs of similar age
#234,780
of 396,838 outputs
Outputs of similar age from Methods in molecular biology
#554
of 1,472 outputs
Altmetric has tracked 23,577,654 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 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 43rd percentile – i.e., 43% 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 396,838 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.