ArticleGigaScience2018
MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks.
Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Efficient inference of large prokaryotic pangenomes with PanTA.Genome biology · 2024Article
- Development and implementation of a core genome multilocus sequence typing scheme forMicrobial genomics · 2024Article
- Comparison of gene clustering criteria reveals intrinsic uncertainty in pangenome analyses.Genome biology · 2023Article
- Ten simple rules for developing visualization tools in genomics.PLoS computational biology · 2022Article
- A graph-based approach for the visualisation and analysis of bacterial pangenomes.BMC bioinformatics · 2022Article
- Integrating pan-genome with metagenome for microbial community profiling.Computational and structural biotechnology journal · 2021Review
- Producing polished prokaryotic pangenomes with the Panaroo pipeline.Genome biology · 2020Article
- Comparative genomics in infectious disease.Current opinion in microbiology · 2020Review
- MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks.GigaScience · 2018Article
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Authors and funding
13 authors.
Funding
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Abstract
Pangenome analyses facilitate the interpretation of genetic diversity and evolutionary history of a taxon. However, there is an urgent and unmet need to develop new tools for advanced pangenome construction and visualization, especially for metagenomic data. Here, we present an integrated pipeline, named MetaPGN, for construction and graphical visualization of pangenome networks from either microbial genomes or metagenomes. Given either isolated genomes or metagenomic assemblies coupled with a reference genome of the targeted taxon, MetaPGN generates a pangenome in a topological network, consisting of genes (nodes) and gene-gene genomic adjacencies (edges) of which biological information can be easily updated and retrieved. MetaPGN also includes a self-developed Cytoscape plugin for layout of and interaction with the resulting pangenome network, providing an intuitive and interactive interface for full exploration of genetic diversity. We demonstrate the utility of MetaPGN by constructing Escherichia coli pangenome networks from five E. coli pathogenic strains and 760 human gut microbiomes,revealing extensive genetic diversity of E. coli within both isolates and gut microbial populations. With the ability to extract and visualize gene contents and gene-gene physical adjacencies of a specific taxon from large-scale metagenomic data, MetaPGN provides advantages in expanding pangenome analysis to uncultured microbial taxa.
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Registered trials
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