ArticleJournal of mathematical chemistry2011
Graphical and numerical representations of DNA sequences: statistical aspects of similarity.
Article in Journal of mathematical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 38 citations in OpenAlex.
- Visualization Methods for DNA Sequences: A Review and Prospects.Biomolecules · 2024Review
- Non-standard bioinformatics characterization of SARS-CoV-2.Computers in biology and medicine · 2021Article
- Rapid Bacterial Species Delineation Based on Parameters Derived From Genome Numerical Representations.Computational and structural biotechnology journal · 2019Article
- Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application.Evolutionary bioinformatics online · 2018Article
- Article
- An improved alignment-free model for DNA sequence similarity metric.BMC bioinformatics · 2014Article
- Phylogenetic analysis of H7N9 avian influenza virus based on a novel mathematical descriptor.BioMed research international · 2014Article
- Descriptors of 2D-dynamic graphs as a classification tool of DNA sequences.Journal of mathematical chemistry · 2014Article
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1 author.
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Abstract
New approaches aiming at a detailed similarity/dissimilarity analysis of DNA sequences are formulated. Several corrections that enrich the information which may be derived from the alignment methods are proposed. The corrections take into account the distributions along the sequences of the aligned bases (neglected in the standard alignment methods). As a consequence, different aspects of similarity, as for example asymmetry of the gene structure, may be studied either using new similarity measures associated with four-component spectral representation of the DNA sequences or using alignment methods with corrections introduced in this paper. The corrections to the alignment methods and the statistical distribution moment-based descriptors derived from the four-component spectral representation of the DNA sequences are applied to similarity/dissimilarity studies of
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