EMMA2

EMMA2 provides comprehensive analysis and management of genome-wide transcriptomics microarray data and enforces MIAME-compliant annotation through MAGE-ML and ontology support.


Key Features:

  • Supported platforms: Supports spotted arrays and synthesized oligo arrays including Agilent, Affymetrix, and NimbleGen.
  • MAGE-ML and ontology support: Implements the MAGE-ML format and ontology support to standardize microarray data annotation consistent with MIAME.
  • Full MAGE object model: Implements a full MAGE object model through a model-driven approach for data representation and flexibility.
  • Genomic annotation integration: Integrates genomic annotation and external knowledge sources using open standards.
  • Statistical analysis: Performs statistical testing for differential expression using R and Bioconductor packages.
  • Distributed computation: Can utilize compute clusters to provide distributed analysis services.
  • Web-service data integration: Supports SOAP-based web services for distributed data integration in client-server environments.
  • Scalability: Architecture is designed to scale for extensions toward high-throughput sequencing technologies requiring greater computational resources.

Scientific Applications:

  • Differential expression analysis: Identification of differentially expressed genes from genome-wide microarray experiments using R and Bioconductor statistics.
  • Transcriptional regulation and gene relationships: Analysis of transcriptional regulation to unravel complex gene relationships from microarray data.
  • Functional genomics studies: Integration of microarray results with genomic annotation and external knowledge for functional genomics projects.
  • Distributed collaborative analysis: Enables collaborative analysis across distributed research consortia via SOAP-based data integration and distributed services.

Methodology:

Implements MAGE-ML with ontology support and a model-driven full MAGE object model; performs analysis using R and Bioconductor packages; supports compute cluster-based distributed services and SOAP-based web-service data integration; integrates genomic annotation via open standards.

Topics

Collections

Details

License:
LGPL-2.1
Maturity:
Mature
Cost:
Free of charge
Tool Type:
workflow
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript
Added:
2/16/2016
Last Updated:
11/25/2024

Operations

Publications

Dondrup M, Albaum SP, Griebel T, Henckel K, Jünemann S, Kahlke T, Kleindt CK, Küster H, Linke B, Mertens D, Mittard-Runte V, Neuweger H, Runte KJ, Tauch A, Tille F, Pühler A, Goesmann A. EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data. BMC Bioinformatics. 2009;10(1). doi:10.1186/1471-2105-10-50. PMID:19200358. PMCID:PMC2645365.

Documentation