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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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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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GraphBio: A shiny web app to easily perform popular visualization analysis for omics data.

Tianxin Zhao1, Zelin Wang2

  • 1Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, Guangdong, China.

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|September 26, 2022
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Summary

GraphBio is a user-friendly web app simplifying omics data visualization for biologists. It offers 15 analysis methods, enabling publication-ready figures without coding skills.

Keywords:
GraphBioheatmapomicsvisualizationvolcano plots

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Visualization

Background:

  • Omics data generation is rapidly increasing, necessitating advanced visualization techniques.
  • Experimental biologists often lack the programming expertise required for complex data analysis.
  • There is a critical need for accessible, user-friendly tools for omics data visualization.

Purpose of the Study:

  • To introduce GraphBio, an intuitive web application designed for omics data visualization.
  • To provide experimental biologists with a tool that requires no programming skills.
  • To facilitate the generation of publication-quality figures from omics datasets.

Main Methods:

  • Development of GraphBio, a Shiny web application.
  • Integration of 15 popular omics data visualization methods.
  • Implementation of user-friendly interface for non-programmers.

Main Results:

  • GraphBio successfully enables visualization analysis of omics data.
  • The application supports diverse methods including heatmaps, PCA, survival analysis, and network plots.
  • Users can generate publication-ready figures without prior programming knowledge.

Conclusions:

  • GraphBio is a valuable online tool for experimental biologists.
  • It democratizes omics data visualization, making complex analyses accessible.
  • The application is freely available online with source code accessible on GitHub.