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Siegel, K., Altenburger, K., Hon, Y.-S., Lin, J. and Yu, C. (2015) PuzzleCluster: A Novel Unsupervised Clustering Algorithm for Binning DNA Fragments in Metagenomics. Current Bioinformatics, 10, 225-231.
https://doi.org/10.2174/157489361002150518150716

has been cited by the following article:

• TITLE: A New Numerical Method for DNA Sequence Analysis Based on 8-Dimensional Vector Representation

  AUTHORS: Dandan Zhang

  KEYWORDS: DNA Map, Zigzag Curve, Numerical Characterization, Similarity Analysis

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.12, December 3, 2019

  ABSTRACT: Background: The multiple sequence alignment (MSA) algorithms are the traditional ways to compare and analyze DNA sequences. However, for large DNA sequences, these algorithms require a long time computationally. Objective: Here we will propose a new numerical method to characterize and compare DNA sequences quickly. Method: Based on a new 2-dimensional (2D) graphical representation of DNA sequences, we can obtain an 8-dimensional vector using two basic concepts of probability, the mean and the variance. Results: We perform similarity/dissimilarity analyses among two real DNA data sets, the coding sequences of the first exon of beta-globin gene of 11 species and 31 mammalian mitochondrial genomes, respectively. Conclusion: Our results are in agreement with the existing analyses in our literatures. We also compare our approach with other methods and find that ours is more effective.