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Related Experiment Video

Updated: Jun 17, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

The Medicago truncatula gene expression atlas web server.

Ji He¹, Vagner A Benedito, Mingyi Wang

¹Plant Biology Division, the Samuel Roberts Noble Foundation, Ardmore, OK 73401, USA. jhe@noble.org

BMC Bioinformatics

|December 24, 2009

Summary

The Medicago truncatula Gene Expression Atlas (MtGEA) is a new web server that helps researchers analyze legume gene expression data. This bioinformatics tool aids in interpreting the Medicago genome through functional genomics and hypothesis generation.

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Published on: November 8, 2017

Area of Science:

Plant Biology
Bioinformatics
Genomics

Background:

Legumes (Leguminosae or Fabaceae) are agriculturally significant plants.
Functional genomics in Medicago truncatula aids in understanding legume gene roles.
Increasing transcriptomic data necessitates advanced bioinformatics tools for Medicago genome interpretation.

Purpose of the Study:

To develop a centralized bioinformatics system for analyzing Medicago truncatula transcriptome data.
To provide researchers with tools for functional genomics and hypothesis generation regarding legume genes.

Main Methods:

Developed the Medicago truncatula Gene Expression Atlas (MtGEA) web server.
Integrated 156 Affymetrix GeneChip Medicago genome arrays from 64 experiments.
Enabled transcript data analysis via gene identifiers, annotations (GO, KEGG), and sequence information.
Implemented co-expression and differential expression analyses.
Provided tools for experiment selection, expression profile visualization, and data download.

Main Results:

The MtGEA hosts a comprehensive dataset of Medicago truncatula gene expression.
The platform supports multifaceted analyses, including co-expression and differential expression.
Users can access gene information, including annotations and genome sequence links.
Data is downloadable in tabular format for further analysis.

Conclusions:

The MtGEA is a valuable resource for plant biologists studying Medicago.
It facilitates efficient identification of transcripts and hypothesis formulation for gene function.
The web server aids in a systematic interpretation of the Medicago genome through functional genomics.