MGX
MGX provides a client/server framework for analysis of shotgun metagenome sequencing data to characterize taxonomic composition and functional potential of microbial communities.
Key Features:
- Flexible Analysis Workflows: Adaptable workflows implemented with the Conveyor workflow engine to perform taxonomic, functional, and statistical analyses on shotgun metagenomes.
- Customizable Pipelines: Integration of user data sources and support for constructing custom analysis pipelines within the framework.
- Comprehensive Taxonomic and Functional Analysis: A default taxonomic classification pipeline for taxonomic and functional annotation reported to deliver equivalent or superior results compared to existing tools.
- Statistical Evaluation: Built-in statistical evaluation capabilities for analysis of metagenomic datasets.
- Visualization Options: Visualization options to aid interpretation of complex metagenomic results.
Scientific Applications:
- Taxonomic and functional profiling: Assignment of shotgun metagenomic sequences to taxonomic and functional entities to characterize microbial community composition and potential.
- Comparative metagenomics: Comparative analyses of microbial communities to study differences in composition and functional potential across samples or conditions.
- Custom research workflows: Integration of unique data sources and custom pipelines to address specific metagenomic research questions.
Methodology:
Workflows are implemented using the Conveyor workflow engine and include a default taxonomic classification pipeline and statistical evaluation components.
Topics
Collections
Details
- License:
- AGPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 10/7/2016
- Last Updated:
- 11/25/2024
Operations
Publications
Jaenicke S, Albaum SP, Blumenkamp P, Linke B, Stoye J, Goesmann A. Flexible metagenome analysis using the MGX framework. Microbiome. 2018;6(1). doi:10.1186/s40168-018-0460-1. PMID:29690922. PMCID:PMC5937802.