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MinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis.

Alexandre Maes1, Xavier Martinez2, Karen Druart2

  • 1Laboratoire de Biologie Moléculaire et Cellulaire des Eucaryotes, Institut de Biologie Physico-Chimique, UMR8226, CNRS, Sorbonne Université, 13 rue Pierre et Marie Curie, 75005, Paris, France.

Journal of Integrative Bioinformatics
|June 22, 2018
PubMed
Summary

We developed an interactive 3D visualization tool, MinOmics, for analyzing complex proteomic data. This system aids in understanding redox post-translational modifications in Chlamydomonas reinhardtii, improving biological data interpretation.

Keywords:
DatabaseDisplay wallOmicsProtein and proteomeVirtual Reality (VR)

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Area of Science:

  • * Computational biology and bioinformatics.
  • * Molecular biology and structural biology.

Background:

  • * Interpreting massive biological datasets from proteomic and transcriptomic technologies requires advanced computational strategies.
  • * Efficient and intuitive real-time analysis of these complex datasets remains a significant challenge.
  • * Understanding redox post-translational modifications (PTMs) is crucial for cellular function.

Purpose of the Study:

  • * To investigate physicochemical parameters governing selectivity of cysteine-based redox PTMs (glutathionylation, nitrosylation, disulphide bonds) in Chlamydomonas reinhardtii.
  • * To elucidate underlying molecular mechanisms and structural determinants of these PTMs.
  • * To develop and evaluate an integrated framework for multi-omics analysis and visualization.

Main Methods:

  • * Utilized proteomic data from 1417 proteins of Chlamydomonas reinhardtii.
  • * Developed an interactive visual analytics approach using a large-scale display wall (8.3 m2, 25 MPixel) with stereoscopic 3D representation (UnityMol WebGL).
  • * Integrated virtual reality headsets for immersive analysis and employed the MinOmics framework for multi-omics data integration and analysis.

Main Results:

  • * Confirmed the necessity of fast access to a rich, cross-linked database for immersive structural data analysis.
  • * Demonstrated the capability to display complex data structures and relationships in 3D, applicable to omics-network analysis.
  • * Evaluated the performance of the MinOmics framework as a criterion for its design.

Conclusions:

  • * The interactive 3D visualization and MinOmics framework facilitate a deeper understanding of molecular mechanisms and structural determinants of redox PTMs.
  • * This approach enhances the interpretation of complex multi-omics data, addressing current analytical challenges.
  • * The developed system provides a powerful tool for biological research, particularly in visualizing intricate molecular interactions and modifications.