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Identification of metagenes and their interactions through large-scale analysis of Arabidopsis gene expression data.

Tyler J Wilson | Liming Lai | Yuguang Ban | Steven X Ge
BMC genomics | 2012

Many plant genes have been identified through whole genome and deep transcriptome sequencing and other methods; yet our knowledge on the function of many of these genes remains limited. The integration and analysis of large gene-expression datasets gives researchers the ability to formalize hypotheses concerning the functionality and interaction between different groups of correlated genes.

Pubmed ID: 22694750

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: GM083226

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This is a list of tools and resources that we have found mentioned in this publication.


DAVID (tool)

RRID:SCR_001881

Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.

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Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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Minitab (tool)

RRID:SCR_014483

A statistical software package that allows the user to import data, create graphs, and perform statistical analysis. It can perform basic statistical tests like descriptive statistics, hypothesis tests, confidence intervals, and normality tests as well as regression and ANOVA and quality assessment.

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