MetaSanity

MetaSanity consolidates outputs from multiple genome evaluation and annotation suites to provide comprehensive microbial genome quality assessment, putative phylogenetic assignment, and structural and functional gene annotation for microbiome research.

Key Features:

• Unified Workflow: Consolidates outputs from eleven established genome evaluation and annotation suites into a single workflow.
• Reproducible Quality Assessment and Phylogeny: Delivers reproducible assessment of microbial genome quality and putative phylogenetic assignments.
• Structural and Functional Annotation: Assigns structural and functional gene annotations with varying levels of specificity.
• Metabolic and Extracellular Enzyme Inference: Combines results from multiple tools to infer metabolic functions and potential extracellular localization of peptidases and carbohydrate-active enzymes.
• Big Data Optimization and Storage: Stores relevant outputs in an SQL database to enable efficient querying of large-scale results.
• Implementation: Implemented using Python3/Cython and C++ for computational performance and integration.

Scientific Applications:

• Microbiome Studies Across Ecosystems: Supports genomic analyses of microbial communities from marine, built, and host-associated environments.
• Functional and Metabolic Inference: Enables investigation of metabolic potential and extracellular enzyme localization (peptidases and carbohydrate-active enzymes) to study microbial roles.
• Genome Catalog Curation: Facilitates genome quality control and putative phylogenetic assignment for constructing high-quality genome datasets.

Methodology:

Consolidates outputs from eleven established genome evaluation and annotation suites, integrates diverse analytical tools, stores outputs in an SQL database, and is implemented in Python3/Cython and C++.