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Current theoretical models fail to predict the topological complexity of the human genome

Overview of attention for article published in Frontiers in Molecular Biosciences, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Title
Current theoretical models fail to predict the topological complexity of the human genome
Published in
Frontiers in Molecular Biosciences, August 2015
DOI 10.3389/fmolb.2015.00048
Pubmed ID
Authors

Javier Arsuaga, Reyka G. Jayasinghe, Robert G. Scharein, Mark R. Segal, Robert H. Stolz, Mariel Vazquez

Abstract

Understanding the folding of the human genome is a key challenge of modern structural biology. The emergence of chromatin conformation capture assays (e.g., Hi-C) has revolutionized chromosome biology and provided new insights into the three dimensional structure of the genome. The experimental data are highly complex and need to be analyzed with quantitative tools. It has been argued that the data obtained from Hi-C assays are consistent with a fractal organization of the genome. A key characteristic of the fractal globule is the lack of topological complexity (knotting or inter-linking). However, the absence of topological complexity contradicts results from polymer physics showing that the entanglement of long linear polymers in a confined volume increases rapidly with the length and with decreasing volume. In vivo and in vitro assays support this claim in some biological systems. We simulate knotted lattice polygons confined inside a sphere and demonstrate that their contact frequencies agree with the human Hi-C data. We conclude that the topological complexity of the human genome cannot be inferred from current Hi-C data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Lithuania 1 3%
Portugal 1 3%
Russia 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Master 8 21%
Student > Ph. D. Student 7 18%
Professor 3 8%
Student > Bachelor 3 8%
Other 3 8%
Unknown 2 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 42%
Agricultural and Biological Sciences 10 26%
Computer Science 3 8%
Physics and Astronomy 3 8%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 28 June 2017.
All research outputs
#1,507,327
of 25,706,302 outputs
Outputs from Frontiers in Molecular Biosciences
#67
of 4,763 outputs
Outputs of similar age
#19,377
of 278,395 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#1
of 18 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,763 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% of its peers.
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 278,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.