Evidence map›Paper›PMID 28323839›Full record

ArticlePloS one2017

On DNA numerical representations for genomic similarity computation.

Gerardo Mendizabal-Ruiz, Israel Román-Godínez, Sulema Torres-Ramos, Ricardo A Salido-Ruiz, J Alejandro Morales

Abstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  7. Hidden Information Revealed Using the Orthogonal System of Nucleic Acids.International journal of molecular sciences · 2022
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  17. A degeneration-reducing criterion for optimal digital mapping of genetic codes.Computational and structural biotechnology journal · 2019
    Article
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  19. 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

5 authors.

Gerardo Mendizabal-RuizDepartamento de Ciencias Computacionales, División de Electrónica y Computación, Universidad de Guadalajara, Guadalajara, Jalisco, México.
Israel Román-GodínezDepartamento de Ciencias Computacionales, División de Electrónica y Computación, Universidad de Guadalajara, Guadalajara, Jalisco, México.
Sulema Torres-RamosDepartamento de Ciencias Computacionales, División de Electrónica y Computación, Universidad de Guadalajara, Guadalajara, Jalisco, México.
Ricardo A Salido-RuizDepartamento de Ciencias Computacionales, División de Electrónica y Computación, Universidad de Guadalajara, Guadalajara, Jalisco, México.
J Alejandro MoralesDepartamento de Ciencias Computacionales, División de Electrónica y Computación, Universidad de Guadalajara, Guadalajara, Jalisco, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic signal processing (GSP) refers to the use of signal processing for the analysis of genomic data. GSP methods require the transformation or mapping of the genomic data to a numeric representation. To date, several DNA numeric representations (DNR) have been proposed; however, it is not clear what the properties of each DNR are and how the selection of one will affect the results when using a signal processing technique to analyze them. In this paper, we present an experimental study of the characteristics of nine of the most frequently-used DNR. The objective of this paper is to evaluate the behavior of each representation when used to measure the similarity of a given pair of DNA sequences.

Indexed as

Signal Processing, Computer-AssistedAlgorithmsAnimalsComputer SimulationCyclooxygenase 1Databases, GeneticHumansRibosomal ProteinsSequence Analysis, DNASequence HomologyCyclooxygenase 1Ribosomal Proteinsribosomal protein S18

Identifiers

PMID28323839
PMCPMC5360225

What OpenQuestion holds

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LicenceCC BY
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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.