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Related Concept Videos

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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POMO--Plotting Omics analysis results for Multiple Organisms.

Jake Lin1, Richard Kreisberg, Aleksi Kallio

  • 1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg, Luxembourg. jake.lin@uni.lu.

BMC Genomics
|December 25, 2013
PubMed
Summary
This summary is machine-generated.

We developed POMO, a web tool for visualizing and filtering omics data analysis results. This interactive application supports various genomic data types and organism models, aiding complex biological data exploration.

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Area of Science:

  • Systems Biology
  • Genomics
  • Bioinformatics

Background:

  • Systems biology experiments generate vast amounts of genomic data.
  • Data mining yields complex, genome-wide association networks.
  • Limited availability of interactive web tools for visualizing and filtering such data.

Purpose of the Study:

  • To develop an interactive web-based application for visualizing and filtering omics data analysis results.
  • To provide a flexible tool for exploring genomic associations across different organisms and data types.

Main Methods:

  • Developed POMO, an interactive web application.
  • Implemented circular, network, and grid views for data visualization.
  • Supported multiple annotation rings (e.g., gene copy number changes) via text file uploads.
  • Integrated built-in references for multiple model organisms.
  • Enabled custom plotting for unsupported strains and cross-species associations.
  • Incorporated interactive label and weight filtering functionalities.
  • Allowed export of filtered results as image and text files.

Main Results:

  • POMO offers interactive visualization of omics data and genome-wide associations.
  • The tool supports diverse data types and includes multiple organisms.
  • Customization options allow analysis of specific research needs, including cross-species comparisons.
  • Interactive filtering and export features facilitate data sharing and further analysis.

Conclusions:

  • POMO is a unique, freely available web application for visualizing and filtering omics data.
  • It supports diverse network layouts and chromosomal contexts for genome-wide associations.
  • The tool's flexibility aids the analysis of heterogeneous omics data across numerous organisms.