AFnetwork
AFnetwork constructs alignment-free phylogenetic networks from whole-genome sequences to infer microbial evolutionary relationships while capturing recombination, lateral genetic transfer, and genome rearrangement in bacteria and archaea.
Key Features:
- Alignment-Free Approach: Infers phylogenetic relationships without multiple sequence alignment, avoiding MSA assumptions and alignment-induced biases.
- k-mer Based Analysis: Quantifies genomic similarity by analyzing the distribution and frequency of k-mers and counting shared k-mers among genomes, including an example dataset of 143 bacterial and archaeal genomes.
- Scalability: Implements computational procedures intended to handle large numbers of genomes and large datasets.
- Network Representation: Produces phylogenetic networks that represent both treelike and non-treelike (reticulate) evolutionary features.
Scientific Applications:
- Microbial Evolution Studies: Captures treelike and reticulate evolutionary events relevant to bacterial and archaeal evolution.
- Genomic Research: Enables analysis of whole-genome sequences to assess overall genomic relatedness without targeting specific loci.
- Evolutionary Biology: Facilitates exploration of processes such as recombination, lateral genetic transfer, and genome rearrangement that are poorly represented by tree models.
Methodology:
AFnetwork analyzes the distribution and frequency of k-mers across genomes, counts shared k-mers among genomes (e.g., 143 bacterial and archaeal genomes), and constructs a phylogenetic network that reflects both treelike and non-treelike relationships without requiring sequence alignment.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript
- Added:
- 9/29/2017
- Last Updated:
- 1/13/2019
Operations
Publications
Bernard G, Ragan MA, Chan CX. Recapitulating phylogenies using k-mers: from trees to networks. F1000Research. 2016;5:2789. doi:10.12688/f1000research.10225.2. PMID:28105314. PMCID:PMC5224691.