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Related Experiment Video

Updated: May 16, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

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Published on: June 17, 2012

Transcriptome data modeling for targeted plant metabolic engineering.

Keiko Yonekura-Sakakibara1, Atsushi Fukushima, Kazuki Saito

  • 1RIKEN Plant Science Center, 1-7-22, Suehiro-cho, Tsurumi-ku, Yokohama 230-0045 Japan.

Current Opinion in Biotechnology
|December 11, 2012
PubMed
Summary

Bioinformatics network analysis, particularly gene coexpression analysis, is crucial for understanding large omics datasets. This approach aids in predicting gene function and advancing plant metabolic engineering.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Plant Science

Background:

  • Omics technologies generate massive datasets requiring advanced bioinformatics tools.
  • Gene coexpression analysis is a key network approach for interpreting gene expression data.
  • Understanding gene relationships is vital for data-driven biology and metabolic pathway elucidation.

Purpose of the Study:

  • To highlight the importance of bioinformatics and network analysis in handling omics data.
  • To emphasize the role of gene coexpression analysis in predicting gene function and metabolic pathways.
  • To explore the potential of integrating network analysis with other omics data for plant metabolic engineering.

Main Methods:

  • Gene coexpression analysis using microarray data.
  • Differential and comparative coexpression analyses.
  • Integration of network analysis with other omics data and genome editing technologies.

Main Results:

  • Gene coexpression analysis serves as a standard tool for gene function prediction.
  • Differential and comparative analyses reveal changes in coexpression relationships and regulatory control.
  • Network analysis integrated with other omics data shows promise for practical applications.

Conclusions:

  • Bioinformatics, especially network analysis, is essential for mining large omics datasets.
  • Gene coexpression analysis effectively elucidates gene function and metabolic pathway relationships.
  • The integration of network analysis with emerging technologies can drive advancements in plant metabolic engineering.