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.

Documentation