Evidence map›Paper›PMID 21779160›Full record

ReviewPLoS computational biology2011

Bridging the resolution gap in structural modeling of 3D genome organization.

Marc A Marti-Renom, Leonid A Mirny

Open access · goldAbstract readReview
In one paragraph

Review in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 88 citations in OpenAlex.

  1. Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Understanding and Simulating the Dynamics of a Polymer-Like Chromatin.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  4. Article
  5. Machine learning meets physics: A two-way street.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. PHi-C: deciphering Hi-C data into polymer dynamics.NAR genomics and bioinformatics · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. Toward understanding the dynamic state of 3D genome.Computational and structural biotechnology journal · 2020
    Review
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Marc A Marti-RenomStructural Genomics Laboratory, Bioinformatics and Genomics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain. mmarti@cipf.es
Leonid A Mirny
Centro de Investigacion Principe Felipe · ESMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, and especially after the advent of fluorescent in situ hybridization imaging and chromosome conformation capture methods, the availability of experimental data on genome three-dimensional organization has dramatically increased. We now have access to unprecedented details of how genomes organize within the interphase nucleus. Development of new computational approaches to leverage this data has already resulted in the first three-dimensional structures of genomic domains and genomes. Such approaches expand our knowledge of the chromatin folding principles, which has been classically studied using polymer physics and molecular simulations. Our outlook describes computational approaches for integrating experimental data with polymer physics, thereby bridging the resolution gap for structural determination of genomes and genomic domains.

Indexed as

Computational BiologyGenomeModels, GeneticChromatinChromosomesHumansModels, MolecularChromatin

Identifiers

PMID21779160
PMCPMC3136432
OpenAlexW2087481015

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.