Evidence map›Paper›PMID 36092740›Full record

ArticleFrontiers in cell and developmental biology2022

EyeVolve, a modular PYTHON based model for simulating developmental eye type diversification.

Ryan Lavin, Shubham Rathore, Brian Bauer, Joe Disalvo, Nick Mosley, Evan Shearer, Zachary Elia, Tiffany A Cook, Elke K Buschbeck

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Ryan LavinElectrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Shubham RathoreBiological Sciences, University of Cincinnati, Cincinnati, OH, United States.
Brian BauerElectrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Joe DisalvoElectrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Nick MosleyElectrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Evan ShearerElectrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Zachary EliaElectrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States.
Tiffany A CookCenter of Molecular Medicine and Genomics, Wayne State University School of Medicine, Detroit, MI, United States.
Elke K BuschbeckBiological Sciences, University of Cincinnati, Cincinnati, OH, United States.
University of Cincinnati · USWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vision is among the oldest and arguably most important sensory modalities for animals to interact with their external environment. Although many different eye types exist within the animal kingdom, mounting evidence indicates that the genetic networks required for visual system formation and function are relatively well conserved between species. This raises the question as to how common developmental programs are modified in functionally different eye types. Here, we approached this issue through EyeVolve, an open-source PYTHON-based model that recapitulates eye development based on developmental principles originally identified in

Indexed as

compound eyesconserved gene networkseye developmenteye diversityvisual system

Identifiers

PMID36092740
PMCPMC9459020
OpenAlexW4293206662

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.