Evidence map›Paper›PMID 29700484›Full record

ArticleNature protocols2018

Computational 3D genome modeling using Chrom3D.

Jonas Paulsen, Tharvesh Moideen Liyakat Ali, Philippe Collas

Abstract read
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In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed.

  1. Article
  2. The pangenome ofiScience · 2026
    Article
  3. Article
  4. Article
  5. Design Space and Declarative Grammar for 3D Genomic Data Visualization.IEEE transactions on visualization and computer graphics · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Uncovering the Principles of Genome Folding by 3D Chromatin Modeling.Cold Spring Harbor perspectives in biology · 2022
    Review
  20. Article
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

3 authors.

Jonas PaulsenDepartment of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.
Tharvesh Moideen Liyakat AliDepartment of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.
Philippe CollasDepartment of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chrom3D is a computational platform for 3D genome modeling that simulates the spatial positioning of chromosome domains relative to each other and relative to the nuclear periphery. In Chrom3D, chromosomes are modeled as chains of contiguous beads, in which each bead represents a genomic domain. In this protocol, a bead represents a topologically associated domain (TAD) mapped from ensemble Hi-C data. Chrom3D takes as input data significant pairwise TAD-TAD interactions determined from a Hi-C contact matrix, and TAD interactions with the nuclear periphery, determined by ChIP-sequencing of nuclear lamins to define lamina-associated domains (LADs). Chrom3D is based on Monte Carlo simulations initiated from a starting random bead configuration. During the optimization process, TAD-TAD interactions constrain bead positions relative to each other, whereas LAD information constrains the corresponding bead toward the nuclear periphery. Optimization can be repeated many times to generate an ensemble of 3D genome models. Analyses of the models enable estimations of the radial positioning of genomic sites in the nucleus across cells in a population. Chrom3D provides opportunities to reveal spatial relationships between TADs and LADs. More generally, predictions from Chrom3D models can be experimentally tested in the laboratory. We describe the entire Chrom3D protocol for modeling a 3D diploid human genome, from the creation of input files to the final rendering of 3D genome structures. The procedure takes ∼18 h. Chrom3D is freely available on GitHub.

Indexed as

GenomeMolecular ConformationCell LineChromatinChromosomesFibroblastsHumansImaging, Three-DimensionalSoftwareChromatin

Identifiers

PMID29700484

What OpenQuestion holds

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Registered trials

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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.