Evidence map›Paper›PMID 38476952›Full record

ArticleFrontiers in microbiology2024

Decoding semiotic minimal genome: a non-genocentric approach.

Carolina Gómez-Márquez, J Alejandro Morales, Teresa Romero-Gutiérrez, Omar Paredes, Ernesto Borrayo

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carolina Gómez-MárquezBiodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico.
J Alejandro MoralesBiodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico.
Teresa Romero-GutiérrezBiodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico.
Omar ParedesBiodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico.
Ernesto BorrayoBiodigital Innovation Lab, Translational Bioengineering Department, Exact Sciences and Engineering University Center, Universidad de Guadalajara, Guadalajara, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for the minimum information required for an organism to sustain a cellular system network has rendered both the identification of a fixed number of known genes and those genes whose function remains to be identified. The approaches used in such search generally focus their analysis on coding genomic regions, based on the genome to proteic-product perspective. Such approaches leave other fundamental processes aside, mainly those that include higher-level information management. To cope with this limitation, a non-genocentric approach based on genomic sequence analysis using language processing tools and gene ontology may prove an effective strategy for the identification of those fundamental genomic elements for life autonomy. Additionally, this approach will provide us with an integrative analysis of the information value present in all genomic elements, regardless of their coding status.

Indexed as

biological information flowgenomic semioticslanguage processing toolsminimum genomenon-genocentric

Identifiers

PMID38476952
PMCPMC10929006

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Registered trials

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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.