Evidence map›Paper›PMID 36826056›Full record

ArticleCurrent issues in molecular biology2023

Quantification of the Diversity in Gene Structures Using the Principles of Polarization Mapping.

Dmitry Zimnyakov, Marina Alonova, Anatoly Skripal, Sergey Dobdin, Valentina Feodorova

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Dmitry ZimnyakovPhysics Department, Yury Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., 410054 Saratov, Russia.ORCID 0000-0002-9787-7903
Marina AlonovaPhysics Department, Yury Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., 410054 Saratov, Russia.
Anatoly SkripalInstitute of Physics, Saratov State University, 83 Astrakhanskaya St., 410012 Saratov, Russia.ORCID 0000-0002-9080-0057
Sergey DobdinInstitute of Physics, Saratov State University, 83 Astrakhanskaya St., 410012 Saratov, Russia.
Valentina FeodorovaInstitute of Physics, Saratov State University, 83 Astrakhanskaya St., 410012 Saratov, Russia.

Funding

Russian Science Foundation 22-21-00194
6 · The paper itself

Abstract

Results of computational analysis and visualization of differences in gene structures using polarization coding are presented. A two-dimensional phase screen, where each element of which corresponds to a specific basic nucleotide (adenine, cytosine, guanine, or thymine), displays the analyzed nucleotide sequence. Readout of the screen with a coherent beam characterized by a given polarization state forms a diffracted light field with a local polarization structure that is unique for the analyzed nucleotide sequence. This unique structure is described by spatial distributions of local values of the Stokes vector components. Analysis of these distributions allows the comparison of nucleotide sequences for different strains of pathogenic microorganisms and frequency analysis of the sequences. The possibilities of this polarization-based technique are illustrated by the model data obtained from a comparative analysis of the spike protein gene sequences for three different model variants (Wuhan, Delta, and Omicron) of the SARS-CoV-2 virus. Various modifications of polarization encoding and analysis of gene structures and a possibility for instrumental implementation of the proposed method are discussed.

Indexed as

bioinformaticscoronavirus genomenucleotide sequencespolarization encodingStokes vector componentsvisualization

Identifiers

PMID36826056
PMCPMC9955201

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.