Evidence map›Paper›PMID 39604838›Full record

ArticleBMC bioinformatics2024

TreeWave: command line tool for alignment-free phylogeny reconstruction based on graphical representation of DNA sequences and genomic signal processing.

Nasma Boumajdi, Houda Bendani, Lahcen Belyamani, Azeddine Ibrahimi

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Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nasma BoumajdiLaboratory of Biotechnology (MedBiotech), Rabat Medical & Pharmacy School, Bioinova Research Center, Mohammed V University in Rabat, Rabat, Morocco.
Houda BendaniLaboratory of Biotechnology (MedBiotech), Rabat Medical & Pharmacy School, Bioinova Research Center, Mohammed V University in Rabat, Rabat, Morocco.
Lahcen BelyamaniMohammed VI Center for Research and Innovation (CM6), Rabat, Morocco.
Azeddine IbrahimiLaboratory of Biotechnology (MedBiotech), Rabat Medical & Pharmacy School, Bioinova Research Center, Mohammed V University in Rabat, Rabat, Morocco. a.ibrahimi@um5r.ac.ma.ORCID http://orcid.org/0000-0003-3226-3836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenomic sequence similarity comparison is a crucial research area in bioinformatics. Multiple Sequence Alignment (MSA) is the basic technique used to identify regions of similarity between sequences, although MSA tools are widely used and highly accurate, they are often limited by computational complexity, and inaccuracies when handling highly divergent sequences, which leads to the development of alignment-free (AF) algorithms.

resultsThis paper presents TreeWave, a novel AF approach based on frequency chaos game representation and discrete wavelet transform of sequences for phylogeny inference. We validate our method on various genomic datasets such as complete virus genome sequences, bacteria genome sequences, human mitochondrial genome sequences, and rRNA gene sequences. Compared to classical methods, our tool demonstrates a significant reduction in running time, especially when analyzing large datasets. The resulting phylogenetic trees show that TreeWave has similar classification accuracy to the classical MSA methods based on the normalized Robinson-Foulds distances and Baker's Gamma coefficients.

conclusionsTreeWave is an open source and user-friendly command line tool for phylogeny reconstruction. It is a faster and more scalable tool that prioritizes computational efficiency while maintaining accuracy. TreeWave is freely available at https://github.com/nasmaB/TreeWave .

Indexed as

AlgorithmsPhylogenySoftwareBase SequenceComputational BiologyGenome, MitochondrialGenomicsHumansSequence AlignmentSequence Analysis, DNAWavelet AnalysisAlignment-freeDiscrete wavelet transformDNA embeddingFrequency chaos game representationGenome comparisonGenomic signal processingK-merWhole-genome phylogeny

Identifiers

PMID39604838
PMCPMC11600722

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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.