Evidence map›Paper›PMID 33035207›Full record

ArticlePLoS computational biology2020

Genome Complexity Browser: Visualization and quantification of genome variability.

Alexander Manolov, Dmitry Konanov, Dmitry Fedorov, Ivan Osmolovsky, Rinat Vereshchagin, Elena Ilina

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. 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. 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

6 authors.

Alexander ManolovFederal Research and Clinical Center of Physical and Chemical Medicine, Federal Medical and Biological Agency of Russia, Moscow, Russian Federation.ORCID 0000-0003-3912-429X
Dmitry KonanovFederal Research and Clinical Center of Physical and Chemical Medicine, Federal Medical and Biological Agency of Russia, Moscow, Russian Federation.ORCID 0000-0002-1217-9234
Dmitry FedorovFederal Research and Clinical Center of Physical and Chemical Medicine, Federal Medical and Biological Agency of Russia, Moscow, Russian Federation.ORCID 0000-0001-8468-7011
Ivan OsmolovskyFederal Research and Clinical Center of Physical and Chemical Medicine, Federal Medical and Biological Agency of Russia, Moscow, Russian Federation.ORCID 0000-0002-8974-8183
Rinat VereshchaginFederal Research and Clinical Center of Physical and Chemical Medicine, Federal Medical and Biological Agency of Russia, Moscow, Russian Federation.
Elena IlinaFederal Research and Clinical Center of Physical and Chemical Medicine, Federal Medical and Biological Agency of Russia, Moscow, Russian Federation.ORCID 0000-0003-0130-5079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative genomics studies may be used to acquire new knowledge regarding genome architecture, which defines the rules for combining sets of genes in the genome of living organisms. Hundreds of thousands of prokaryotic genomes have been sequenced and assembled. However, computational tools capable of simultaneously comparing large numbers of genomes are lacking. We developed the Genome Complexity Browser, a tool that allows the visualization of gene contexts, in a graph-based format, and the quantification of variability for different segments of a genome. The graph-based visualization allows the inspection of changes in gene contents and neighborhoods across hundreds of genomes, simultaneously, which may facilitate the identification of conserved and variable segments of operons or the estimation of the overall variability associated with a particular genome locus. We introduced a measure called complexity, to quantify genome variability. Intraspecies and interspecies comparisons revealed that regions with high complexity values tended to be located in areas that are conserved across different strains and species.

Indexed as

SoftwareDatabases, GeneticGenetic VariationGenome, BacterialGenomicsUser-Computer Interface

Identifiers

PMID33035207
PMCPMC7577506

What OpenQuestion holds

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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.