MAGpy

MAGpy performs automated downstream analysis of metagenome-assembled genomes (MAGs), annotating genomic features, assessing genome quality, suggesting taxonomic classifications, and constructing phylogenetic trees to support metagenomic and environmental microbial studies.

Key Features:

• Input format (FASTA): Accepts multiple genome assemblies provided in FASTA format for batch analysis.
• Database comparisons: Compares MAGs against several public databases to enable annotation of genomic features.
• Quality assessment: Assesses genome quality across large sets of MAGs for high-throughput quality control.
• Taxonomic suggestion: Generates suggested taxonomic classifications for MAGs to inform ecological and evolutionary interpretation.
• Phylogenetic reconstruction: Constructs phylogenetic trees to evaluate evolutionary relationships among genomes.
• Workflow engine (Snakemake): Implements the pipeline using the Snakemake workflow management system to enable reproducible and scalable execution.
• Scalability: Supports analysis of thousands of genomes simultaneously for high-throughput studies.

Scientific Applications:

• Metagenomic analysis: Enables annotation and characterization of MAGs recovered from metagenomic assemblies.
• Microbial ecology: Supports inference of ecological roles via taxonomic assignment and functional annotation.
• Environmental genomics: Facilitates comparative analysis of genomes derived from diverse environmental samples.
• Evolutionary inference: Uses phylogenetic trees and taxonomy to investigate evolutionary relationships among microbes.
• Functional characterization of MAGs: Integrates annotations and quality metrics to support functional profiling of community members.

Methodology:

Processes multiple genome assemblies in FASTA format; compares genomes against several public databases for annotation and quality assessment; generates suggested taxonomic classifications; constructs phylogenetic trees; and is implemented as a Snakemake workflow.