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SWeeP: representing large biological sequences datasets in compact vectors.

Camilla Reginatto De Pierri1,2, Ricardo Voyceik3, Letícia Graziela Costa Santos de Mattos1

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Spaced Words Projection (SWeeP) offers a fast, alignment-free method for biological sequence representation. This approach efficiently generates comparable vectors, enabling rapid and accurate phylogenetic tree construction for large datasets.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Traditional biological sequence analysis often relies on alignment-based methods, which struggle with large datasets.
  • Efficient representation of biological sequences is crucial for handling big data in bioinformatics.

Purpose of the Study:

  • To introduce Spaced Words Projection (SWeeP), a novel alignment-free method for biological sequence representation.
  • To develop a computationally efficient technique for generating comparable sequence vectors.
  • To demonstrate the utility of SWeeP in constructing accurate phylogenetic trees.

Main Methods:

  • SWeeP utilizes spaced-words to scan biological sequences and generate indices.
  • A high-dimensional vector is created and then projected onto a smaller, randomly oriented orthonormal base.
  • Phylogenetic trees were constructed using SWeeP for all organisms with mitochondrial and bacterial protein data in the NCBI database.

Main Results:

  • SWeeP successfully constructed complete and accurate phylogenetic trees with low computational cost.
  • The method demonstrated significant speed improvements, being 10 to 100 times faster than other alignment-free techniques.
  • Generated vectors are relatively small yet preserve intersequence comparability.

Conclusions:

  • SWeeP provides an efficient and scalable solution for biological sequence representation and analysis.
  • The alignment-free nature of SWeeP overcomes limitations of traditional methods for big data.
  • SWeeP facilitates rapid and accurate phylogenetic tree construction, offering a valuable tool for computational biology.