ArticleJournal of theoretical biology2015
A new method to cluster DNA sequences using Fourier power spectrum.
Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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.
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.
Who cites it
27 citing papers in PubMed.
- A latent genetic subtype of major depression identified by whole-exome genotyping data in a Mexican-American cohort.Translational psychiatry · 2017Trial
- CAKR: commutative algebra k-mer representations for genomics.Nature communications · 2026Article
- Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Comparative study of encoded and alignment-based methods for virus taxonomy classification.Scientific reports · 2023Article
- Leveraging machine learning for taxonomic classification of emerging astroviruses.Frontiers in molecular biosciences · 2023Article
- A new gene tree algorithm employing DNA sequences of bovine genome using discrete Fourier transformation.PloS one · 2023Article
- DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data.BMC bioinformatics · 2022Article
- Mathematical Approach to Protein Sequence Comparison Based on Physiochemical Properties.ACS omega · 2022Article
- FFP: joint Fast Fourier transform and fractal dimension in amino acid property-aware phylogenetic analysis.BMC bioinformatics · 2022Article
- Uncovering Signals from the Coronavirus Genome.Genes · 2021Article
- A new graph-theoretic approach to determine the similarity of genome sequences based on nucleotide triplets.Genomics · 2020Article
- ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels.BMC genomics · 2019Article
- Alignment-free method for DNA sequence clustering using Fuzzy integral similarity.Scientific reports · 2019Article
- Article
- A Novel Approach to Clustering Genome Sequences Using Inter-nucleotide Covariance.Frontiers in genetics · 2019Article
- SWSPM: A Novel Alignment-Free DNA Comparison Method Based on Signal Processing Approaches.Evolutionary bioinformatics online · 2019Article
- Large-Scale Genome Comparison Based on Cumulative Fourier Power and Phase Spectra: Central Moment and Covariance Vector.Computational and structural biotechnology journal · 2019Article
- Measuring Similarity among Protein Sequences Using a New Descriptor.BioMed research international · 2019Article
- Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides.Scientific reports · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
A novel clustering method is proposed to classify genes and genomes. For a given DNA sequence, a binary indicator sequence of each nucleotide is constructed, and Discrete Fourier Transform is applied on these four sequences to attain respective power spectra. Mathematical moments are built from these spectra, and multidimensional vectors of real numbers are constructed from these moments. Cluster analysis is then performed in order to determine the evolutionary relationship between DNA sequences. The novelty of this method is that sequences with different lengths can be compared easily via the use of power spectra and moments. Experimental results on various datasets show that the proposed method provides an efficient tool to classify genes and genomes. It not only gives comparable results but also is remarkably faster than other multiple sequence alignment and alignment-free methods.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.