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Genomics

Genomics

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: Dec 9, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Panomicon: A web-based environment for interactive, visual analysis of multi-omics data.

Rodolfo S Allendes Osorio¹, Johan T Nyström-Persson², Yosui Nojima¹

¹Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki-shi, Osaka, 567-0085, Japan.

|September 9, 2020

Summary

This summary is machine-generated.

Panomicon is a new web-based tool for analyzing multi-omics data. It enables interactive exploration and visualization of interaction networks across different omics types, aiding biological and medical research.

Keywords:

Bioinformatics Computational biology Gene interactions Gene networks Genetics Interactive analysis Lung cancer Multi-omics Visualization microRNA

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Last Updated: Dec 9, 2025

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Published on: December 7, 2021

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Published on: January 16, 2019

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Published on: December 7, 2021

Area of Science:

Bioinformatics
Computational Biology
Genomics and Proteomics

Background:

Multi-omics analyses integrate diverse biological data types (e.g., genomics, transcriptomics, proteomics) for deeper insights.
Handling complex, high-dimensional multi-omics datasets requires specialized software solutions.
Existing tools like Toxygates facilitate single-omics analysis but lack comprehensive multi-omics integration.

Purpose of the Study:

Introduce Panomicon, a novel web-based interactive environment for multi-omics data analysis.
Enhance capabilities for storing, handling, and visualizing multiple omics data types.
Facilitate the generation and exploration of interaction networks between different omics data.

Main Methods:

Development of Panomicon, a web-based platform building upon Toxygates.
Implementation of enhanced data storage and handling for diverse omics types.
Integration of tools for generating and visualizing multi-omics interaction networks.

Main Results:

Panomicon provides an interactive environment for collaborative multi-omics data study.
Demonstrated utility through analysis of microRNA-mRNA interaction networks in non-small cell lung cancer.
Supports both cloud-based data uploads and self-hosted deployments.

Conclusions:

Panomicon offers a versatile platform for advancing multi-omics research.
The tool facilitates the discovery of complex biological interactions across different data layers.
Panomicon supports collaborative research and custom deployments for diverse scientific needs.