Molecular Ecology Resources · 2023 · 21 citations · 59 references
Life SciencesBioinformaticsMicrobiologyGenomic Data AnalysisGenomicsMetagenomicsGenome Recovery From MetagenomesGenome SequencingMetagenomic AnalysisMetagenomic Data Quality ControlShotgun Metagenomic SequencingShotgun MetagenomicsArchaeal VirusesDe Novo MetagenomicsGenome Reconstruction From MetagenomesMetagenome-assembled Genome TaxonomyOpen-source Software DevelopmentRelative Abundance AnalysisRelative Abundance MetricsViral Genome Recovery
Several computational frameworks and workflows that recover genomes from prokaryotes, eukaryotes and viruses from metagenomes exist. Yet, it is difficult for scientists with little bioinformatics experience to evaluate quality, annotate genes, dereplicate, assign taxonomy and calculate relative abundance and coverage of genomes belonging to different domains. MuDoGeR is a user-friendly tool tailored for those familiar with Unix command-line environment that makes it easy to recover genomes of prokaryotes, eukaryotes and viruses from metagenomes, either alone or in combination. We tested MuDoGeR using 24 individual-isolated genomes and 574 metagenomes, demonstrating the applicability for a few samples and high throughput. While MuDoGeR can recover eukaryotic viral sequences, its characterization is predominantly skewed towards bacterial and archaeal viruses, reflecting the field's current state. However, acting as a dynamic wrapper, the MuDoGeR is designed to constantly incorporate updates and integrate new tools, ensuring its ongoing relevance in the rapidly evolving field. MuDoGeR is open-source software available at https://github.com/mdsufz/MuDoGeR. Additionally, MuDoGeR is also available as a Singularity container.
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