Evidence map›Paper›PMID 39192184›Full record

ArticleBMC bioinformatics2024

ARGV: 3D genome structure exploration using augmented reality.

Chrisostomos Drogaris, Yanlin Zhang, Eric Zhang, Elena Nazarova, Roman Sarrazin-Gendron, Sélik Wilhelm-Landry, Yan Cyr, Jacek Majewski, Mathieu Blanchette, Jérôme Waldispühl

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Chrisostomos Drogaris *School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Yanlin Zhang *School of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Eric ZhangSchool of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Elena NazarovaSchool of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Roman Sarrazin-GendronSchool of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Sélik Wilhelm-LandrySchool of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Yan CyrBeam Me Up Inc., 5925 Monkland Ave, Suite, 100, Montréal, H4A 1G7, Canada.
Jacek MajewskiDepartment of Human Genetics, McGill University, Montréal, QC, H3A 1B1, Canada.
Mathieu BlanchetteSchool of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada.
Jérôme WaldispühlSchool of Computer Science, McGill University, Montréal, QC, H3A 0E9, Canada. jerome.waldispuhl@mcgill.ca.ORCID http://orcid.org/0000-0002-2561-7117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, scientists have increasingly realized the importance of the three-dimensional (3D) genome organization in regulating cellular activity. Hi-C and related experiments yield 2D contact matrices that can be used to infer 3D models of chromosome structure. Visualizing and analyzing genomes in 3D space remains challenging. Here, we present ARGV, an augmented reality 3D Genome Viewer. ARGV contains more than 350 pre-computed and annotated genome structures inferred from Hi-C and imaging data. It offers interactive and collaborative visualization of genomes in 3D space, using standard mobile phones or tablets. A user study comparing ARGV to existing tools demonstrates its benefits.

Indexed as

Augmented RealityGenomeGenomicsHumansImaging, Three-DimensionalSoftware3D genome browser3D genome organizationAugmented reality ARMobile appVirtual reality VR

Identifiers

PMID39192184
PMCPMC11348660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.