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Related Experiment Video

Updated: Jan 26, 2026

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Pixel: a content management platform for quantitative omics data.

Thomas Denecker1, William Durand2, Julien Maupetit2

  • 1CEA, CNRS, Univ. Paris-Sud, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.

Peerj
|April 5, 2019
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Summary
This summary is machine-generated.

Researchers can now manage multi-omics data with the Pixel Web App, an open-source platform for annotating, storing, and exploring biological information. This tool aids in the efficient handling of large datasets from high-throughput experiments.

Keywords:
Data cycle analysesOmicsOpen sourcePixel Web App

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput "omics" technologies generate vast amounts of biological data.
  • Researchers face challenges in managing and analyzing large-scale experimental results.
  • A need exists for integrated platforms to handle multi-omics data.

Purpose of the Study:

  • To introduce the Pixel Web App, a novel content management platform.
  • To facilitate the annotation, storage, exploration, and mining of multi-omics data.
  • To support researchers involved in complex biological projects.

Main Methods:

  • Developed using open-source Python (Django) and PostgreSQL.
  • Hosted on GitHub under a BSD 3-clause license.
  • Utilizes Docker for streamlined development and deployment.

Main Results:

  • Provides an intuitive interface for managing multi-omics data.
  • Flexible installation options (personal computer or server).
  • Encourages community contributions and extensions for enhanced functionality.

Conclusions:

  • Pixel Web App offers a strategic solution for research data management.
  • It empowers researchers to efficiently explore and mine multi-omics results.
  • The platform supports data accessibility and collaborative development.