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MIKE: an ultrafast, assembly-, and alignment-free approach for phylogenetic tree construction.

Authors :
Wang, Fang
Wang, Yibin
Zeng, Xiaofei
Zhang, Shengcheng
Yu, Jiaxin
Li, Dongxi
Zhang, Xingtan
Source :
Bioinformatics. Apr2024, Vol. 40 Issue 4, p1-10. 10p.
Publication Year :
2024

Abstract

Motivation Constructing a phylogenetic tree requires calculating the evolutionary distance between samples or species via large-scale resequencing data, a process that is both time-consuming and computationally demanding. Striking the right balance between accuracy and efficiency is a significant challenge. Results To address this, we introduce a new algorithm, MIKE (MinHash-based k -mer algorithm). This algorithm is designed for the swift calculation of the Jaccard coefficient directly from raw sequencing reads and enables the construction of phylogenetic trees based on the resultant Jaccard coefficient. Simulation results highlight the superior speed of MIKE compared to existing state-of-the-art methods. We used MIKE to reconstruct a phylogenetic tree, incorporating 238 yeast, 303 Zea , 141 Ficus , 67 Oryza , and 43 Saccharum spontaneum samples. MIKE demonstrated accurate performance across varying evolutionary scales, reproductive modes, and ploidy levels, proving itself as a powerful tool for phylogenetic tree construction. Availability and implementation MIKE is publicly available on Github at https://github.com/Argonum-Clever2/mike.git. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
40
Issue :
4
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
176933420
Full Text :
https://doi.org/10.1093/bioinformatics/btae154