Similarity analysis of DNA barcodes sequences based on compressed feature vectors

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Abstract

We provided a novel method for sequence analysis based on the compressed representation of sequences. In our work, we mapped DNA barcodes sequences into compressed feature vectors (CFV), which comprise 12 components. We used the Euclidean distance method (EMD) based on compressed feature vectors (CFV) to build dendrograms, which may have a biological interpretation and can be considered as a kind of phylogenetic tree. As a numeralization representation technique makes it easy to analyze the similarities between specimens in detail. The results show that CFV is a reasonable descriptor for DNA barcodes sequences. © 2012 Springer-Verlag.

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Yu, H. J. (2011). Similarity analysis of DNA barcodes sequences based on compressed feature vectors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6840 LNBI, pp. 470–477). https://doi.org/10.1007/978-3-642-24553-4_62

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