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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Related Experiment Video

Updated: Nov 22, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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MiBiOmics: an interactive web application for multi-omics data exploration and integration.

Johanna Zoppi1, Jean-François Guillaume2, Michel Neunlist1

  • 1INSERM, TENS, Université de Nantes, Nantes, France.

BMC Bioinformatics
|January 7, 2021
PubMed
Summary
This summary is machine-generated.

MiBiOmics is a new application for multi-omics data analysis, offering intuitive visualization and integration tools for biological systems. It helps researchers explore complex datasets and identify biomarkers without needing programming skills.

Keywords:
Biological networksData integrationMulti-omicsOrdinationR shiny

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Area of Science:

  • Biological and Medical Sciences
  • Bioinformatics
  • Systems Biology

Background:

  • Multi-omics approaches are increasingly common, necessitating integrated analysis techniques for biological systems.
  • Analyzing diverse omics datasets presents challenges due to size and complexity.
  • Biologists often lack programming skills for current visualization tools.

Purpose of the Study:

  • To present MiBiOmics, a user-friendly application for multi-omics data analysis.
  • To facilitate visualization, exploration, integration, and analysis of multi-omics data.
  • To provide biologists with accessible tools for interpreting complex biological systems.

Main Methods:

  • MiBiOmics is a web-based and standalone application.
  • It offers interactive protocols for data analysis.
  • Implements ordination techniques and network inference for multi-omics data.

Main Results:

  • MiBiOmics enables multi-omics data visualization, exploration, integration, and analysis.
  • The application facilitates the mining of complex biological systems.
  • Identifies robust biomarkers linked to specific biological states or parameters.

Conclusions:

  • MiBiOmics offers accessible ordination techniques and network-based approaches for integrative multi-omics analysis.
  • The application features an intuitive and interactive interface.
  • MiBiOmics is available as a Shiny app and a standalone application.