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Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study.

Sushma Naithani1, Pankaj Jaiswal2

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Summary
This summary is machine-generated.

Pathway Genome Databases (PGDBs) model plant metabolic networks. FragariaCyc demonstrates navigating PGDBs, comparing pathways across species, and analyzing RNA-Seq data for biological insights.

Keywords:
BioCyc databasesFragariaCycGene expression analysisOMICs viewerPGDBsPlant metabolic networksPlant pathways

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Area of Science:

  • Metabolic Engineering
  • Bioinformatics
  • Plant Biology

Background:

  • Species-specific plant Pathway Genome Databases (PGDBs) built on the BioCyc platform offer a metabolic network model for organisms.
  • These frameworks enable analysis of genome-scale expression data to understand metabolic shifts in response to developmental, differentiation, or environmental signals.
  • FragariaCyc is a pathway database developed for the diploid strawberry, Fragaria vesca.

Purpose of the Study:

  • To demonstrate basic navigation within a PGDB.
  • To present a case study on pathway comparison across different plant species.
  • To illustrate RNA-Seq data analysis using the Omics Viewer tool.

Main Methods:

  • Utilizing FragariaCyc, a PGDB for Fragaria vesca.
  • Performing pathway comparisons across selected plant species.
  • Applying the Omics Viewer tool for RNA-Seq data analysis.

Main Results:

  • Successful navigation and data exploration within FragariaCyc.
  • Identified conserved and divergent metabolic pathways between plant species.
  • Demonstrated the utility of Omics Viewer for interpreting gene expression data in a metabolic context.

Conclusions:

  • The protocols for navigating and analyzing data within FragariaCyc are applicable to other Pathway Tools-based PGDBs.
  • PGDBs are valuable tools for understanding plant metabolism and responses to various stimuli.
  • Comparative pathway analysis and omics data integration provide deeper biological insights.