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Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration.

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Summary
This summary is machine-generated.

A new Multi-omics Visualization Platform (MVP) aids researchers in exploring proteogenomic data. This tool integrates various

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Area of Science:

  • Proteogenomics
  • Bioinformatics
  • Data Visualization

Background:

  • Proteogenomics combines genomics, transcriptomics, and proteomics to identify novel protein sequences from genetic and transcript variants.
  • Analyzing proteogenomic data necessitates integrating diverse omic software tools and custom solutions for result interpretation.
  • The Galaxy platform offers a flexible environment for proteogenomic data analysis.

Purpose of the Study:

  • To introduce a novel Multi-omics Visualization Platform (MVP) for organizing, visualizing, and exploring proteogenomic results.
  • To provide a critically needed tool for enhanced data exploration and interpretation in proteogenomics.
  • To develop an extensible platform for future advancements in proteogenomic data visualization.

Main Methods:

  • MVP is developed as an HTML Galaxy plug-in utilizing JavaScript.
  • It integrates with the Galaxy API and uses SQLite databases (mzSQLite) containing peptide identification, variant annotation, and coding sequence data.
  • Leverages the Integrated Genomics Viewer JavaScript framework for interactive visualization of genomic and transcriptomic data alongside peptides.

Main Results:

  • Users can interactively filter peptides based on sequence and data quality.
  • Annotated peptide MS data and protein-level information with genomic coordinates are visualized.
  • Filtered peptides can be returned to Galaxy for further analysis, and results can be saved and shared.

Conclusions:

  • MVP offers a powerful and extensible platform for automated, interactive visualization of proteogenomic results within Galaxy.
  • It serves as a unique and essential tool for empowering the exploration and interpretation of complex proteogenomic data.
  • The platform's extensibility supports the development of new functionalities for proteogenomic data visualization.