Abstract
Existing alignment-based phylogenetic methods remain computationally arduous and even impossible for large numbers of viral genetic sequences. Objective: Alignment-free methodologies which successfully overcome serious limitations of alignment-based ways, especially for computation time and storage space, have been quickly proposed. Methods: Natural vector method is a new alignment-free approach for studying phylogenetics.Because of its simplicity when compared with the alignment-based ways, the method has been successfully applied in virus phylogenetic classification lately. Results: Natural vector method allows us to identify phylogenetic relationships for single-segmented and multiple-segmented viruses at different classification levels such as family, subfamily, genus, species and Baltimore class. The method has high speed and accuracy. Conclusion: Here we reviewed the development of the natural vector method and discussed its applications on virus phylogenetic classification.
| Original language | English |
|---|---|
| Pages (from-to) | 332-336 |
| Number of pages | 5 |
| Journal | Current Bioinformatics |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
| Externally published | Yes |
Keywords
- Alignment-free
- Hausdorff distance
- Natural vector
- Nearest neighbour algorithm
- Whole genome comparison