Evidence map›Paper›PMID 26868282›Full record

ArticleScientific reports2016

GMOL: An Interactive Tool for 3D Genome Structure Visualization.

Jackson Nowotny, Avery Wells, Oluwatosin Oluwadare, Lingfei Xu, Renzhi Cao, Tuan Trieu, Chenfeng He, Jianlin Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Design Space and Declarative Grammar for 3D Genomic Data Visualization.IEEE transactions on visualization and computer graphics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Computational methods for analyzing and modeling genome structure and organization.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  11. Review
  12. Review
  13. Review
  14. 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

8 authors.

Jackson NowotnyComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Avery WellsComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Oluwatosin OluwadareComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Lingfei XuComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Renzhi CaoComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Tuan TrieuComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Chenfeng HeComputer Science Department, University of Missouri, Columbia, MO 65211, USA.
Jianlin ChengComputer Science Department, University of Missouri, Columbia, MO 65211, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been shown that genome spatial structures largely affect both genome activity and DNA function. Knowing this, many researchers are currently attempting to accurately model genome structures. Despite these increased efforts there still exists a shortage of tools dedicated to visualizing the genome. Creating a tool that can accurately visualize the genome can aid researchers by highlighting structural relationships that may not be obvious when examining the sequence information alone. Here we present a desktop application, known as GMOL, designed to effectively visualize genome structures so that researchers may better analyze genomic data. GMOL was developed based upon our multi-scale approach that allows a user to scale between six separate levels within the genome. With GMOL, a user can choose any unit at any scale and scale it up or down to visualize its structure and retrieve corresponding genome sequences. Users can also interactively manipulate and measure the whole genome structure and extract static images and machine-readable data files in PDB format from the multi-scale structure. By using GMOL researchers will be able to better understand and analyze genome structure models and the impact their structural relations have on genome activity and DNA function.

Indexed as

Genome, HumanImaging, Three-DimensionalSoftwareChromosomes, HumanHumans

Identifiers

PMID26868282
PMCPMC4751627

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.