Evidence map›Paper›PMID 31888438›Full record

ArticleBMC bioinformatics2019

Alignment-free genomic sequence comparison using FCGR and signal processing.

Daniel Lichtblau

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Overview and Prospects of DNA Sequence Visualization.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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  16. Non-standard bioinformatics characterization of SARS-CoV-2.Computers in biology and medicine · 2021
    Article
  17. Chaos game representation and its applications in bioinformatics.Computational and structural biotechnology journal · 2021
    Review
  18. 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

1 author.

Daniel LichtblauWolfram Research, Champaign, 61820, Illinois, USA. danl@wolfram.com.ORCID http://orcid.org/0000-0002-2299-008X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlignment-free methods of genomic comparison offer the possibility of scaling to large data sets of nucleotide sequences comprised of several thousand or more base pairs. Such methods can be used for purposes of deducing "nearby" species in a reference data set, or for constructing phylogenetic trees.

resultsWe describe one such method that gives quite strong results. We use the Frequency Chaos Game Representation (FCGR) to create images from such sequences, We then reduce dimension, first using a Fourier trig transform, followed by a Singular Values Decomposition (SVD). This gives vectors of modest length. These in turn are used for fast sequence lookup, construction of phylogenetic trees, and classification of virus genomic data. We illustrate the accuracy and scalability of this approach on several benchmark test sets.

conclusionsThe tandem of FCGR and dimension reductions using Fourier-type transforms and SVD provides a powerful approach for alignment-free genomic comparison. Results compare favorably and often surpass best results reported in prior literature. Good scalability is also observed.

Indexed as

SoftwareAnimalsGenomicsHumansInfluenza A virusMitochondriaPhylogenyAlignment-free methodsChaos game representationDimension reductionGenome comparisonGenome identificationPhylogenetic tree

Identifiers

PMID31888438
PMCPMC6937637

What OpenQuestion holds

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LicenceCC BY
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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.