HGTphyloDetect
HGTphyloDetect performs identification and phylogenetic analysis of horizontal gene transfer (HGT) events to reveal donor lineages and evolutionary dynamics driving genome evolution and metabolic adaptation.
Key Features:
- High-Throughput Analysis: Handles large-scale genomic datasets for genome-wide identification of putative HGT events.
- Phylogenetic Inference: Implements phylogenetic reconstruction to infer potential gene donors and trace transmission paths among evolutionarily distant and closely related species.
- Accuracy and Low False Discovery Rate: Identifies HGT events with high precision and a low false discovery rate.
Scientific Applications:
- Evolutionary Biology: Dissects how HGT contributes to genome evolution and the acquisition of novel functions.
- Comparative Genomics: Enables genome-wide surveys of HGT to contextualize gene distribution across species and infer evolutionary relationships.
- Microbial Ecology: Assists in analyzing how HGT mediates metabolic adaptation and ecological interactions in microbial communities.
Methodology:
Combines high-throughput genomic data processing with phylogenetic reconstruction methods to identify candidate HGT loci and reconstruct their evolutionary histories and transmission paths.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Perl
- Added:
- 3/20/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Yuan L, Lu H, Li F, Nielsen J, Kerkhoven EJ. HGTphyloDetect: facilitating the identification and phylogenetic analysis of horizontal gene transfer. Briefings in Bioinformatics. 2023;24(2). doi:10.1093/bib/bbad035. PMID:36752380. PMCID:PMC10025432.
DOI: 10.1093/bib/bbad035
PMID: 36752380
PMCID: PMC10025432
Funding: - Novo Nordisk Foundation: NNF20CC0035580
- European Union’s Horizon 2020 research and innovation program: 720824
- National Natural Science Foundation of China: 22208211
- National Key Research and Development Program of China: 2022YFA0913000