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Related Experiment Videos

The Tomato Expression Atlas.

Noe Fernandez-Pozo1, Yi Zheng1, Stephen I Snyder2

  • 1Boyce Thompson Institute, Ithaca, NY 14853, USA.

Bioinformatics (Oxford, England)
|April 6, 2017
PubMed
Summary
This summary is machine-generated.

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New tools are needed to visualize complex gene expression data. The Tomato Expression Atlas provides an intuitive platform for visualizing gene expression in tomato fruit, aiding in gene function discovery.

Area of Science:

  • Plant Biology
  • Genomics
  • Bioinformatics

Background:

  • High-throughput DNA sequencing generates large, complex gene expression datasets.
  • Existing visualization tools struggle to represent spatiotemporal expression data effectively.
  • Elucidating gene function requires intuitive methods for analyzing expression patterns.

Purpose of the Study:

  • To develop an interactive tool for visualizing gene expression data.
  • To facilitate the analysis of spatiotemporal gene expression within an organ.
  • To enhance hypothesis generation and candidate gene identification.

Main Methods:

  • Development of the Tomato Expression Atlas (TEA).
  • Utilizing tomato fruit as a model system.
  • Enabling simultaneous visualization of gene groups at a cellular/tissue resolution.

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Main Results:

  • The Tomato Expression Atlas allows for effective data analysis.
  • Simultaneous visualization of multiple genes within the tomato fruit organ.
  • Enhanced ability to identify candidate genes and test hypotheses.

Conclusions:

  • The Tomato Expression Atlas addresses the need for advanced gene expression visualization tools.
  • This atlas can be adapted for diverse multicellular species and expression data types.
  • Facilitates deeper understanding of gene function through spatiotemporal expression analysis.