Evidence map›Paper›PMID 25393409›Full record

ArticlePloS one2014

Genomic signal processing methods for computation of alignment-free distances from DNA sequences.

Ernesto Borrayo, E Gerardo Mendizabal-Ruiz, Hugo Vélez-Pérez, Rebeca Romo-Vázquez, Adriana P Mendizabal, J Alejandro Morales

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

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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

6 authors.

Ernesto BorrayoComputer Sciences Department, CUCEI - Universidad de Guadalajara, Guadalajara, México.
E Gerardo Mendizabal-RuizComputer Sciences Department, CUCEI - Universidad de Guadalajara, Guadalajara, México.
Hugo Vélez-PérezComputer Sciences Department, CUCEI - Universidad de Guadalajara, Guadalajara, México.
Rebeca Romo-VázquezComputer Sciences Department, CUCEI - Universidad de Guadalajara, Guadalajara, México.
Adriana P MendizabalMolecular Biology Laboratory, Farmacobiology Department, CUCEI - Universidad de Guadalajara, Guadalajara, México.
J Alejandro MoralesComputer Sciences Department, CUCEI - Universidad de Guadalajara, Guadalajara, México; Center for Theoretical Research and High Performance Computing, CUCEI -Universidad de Guadalajara, Guadalajara, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic signal processing (GSP) refers to the use of digital signal processing (DSP) tools for analyzing genomic data such as DNA sequences. A possible application of GSP that has not been fully explored is the computation of the distance between a pair of sequences. In this work we present GAFD, a novel GSP alignment-free distance computation method. We introduce a DNA sequence-to-signal mapping function based on the employment of doublet values, which increases the number of possible amplitude values for the generated signal. Additionally, we explore the use of three DSP distance metrics as descriptors for categorizing DNA signal fragments. Our results indicate the feasibility of employing GAFD for computing sequence distances and the use of descriptors for characterizing DNA fragments.

Indexed as

Signal Processing, Computer-AssistedAlgorithmsAmino Acid SequenceBase SequenceChromosome MappingComputational BiologyDNAGenomicsHumansRNASequence Analysis, DNADNARNA

Identifiers

PMID25393409
PMCPMC4230918

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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.