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Related Concept Videos

Genomics02:02

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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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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Epiviz: interactive visual analytics for functional genomics data.

Florin Chelaru1, Llewellyn Smith2, Naomi Goldstein3

  • 11] Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA. [2] Department of Computer Science, University of Maryland, College Park, Maryland, USA.

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Interactive visualization enhances genomics data analysis. Epiviz, a web-based genome browser, and Epivizr Bioconductor package enable reproducible and extensible genomic data exploration.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Visualization

Background:

  • Genomic data analysis relies heavily on effective visualization techniques.
  • Integrating algorithmic-statistical analysis with interactive visualization is crucial for robust interpretation.
  • Existing tools may lack the necessary interactivity, extensibility, or reproducibility for complex genomic studies.

Purpose of the Study:

  • To introduce Epiviz, a novel web-based genome browser.
  • To present the Epivizr Bioconductor package for enhanced genomic data visualization.
  • To facilitate iterative analysis and reproducible research in genomics.

Main Methods:

  • Development of Epiviz as a state-of-the-art, web-based genome browser.
  • Implementation of the Epivizr Bioconductor package for seamless integration with the R statistical environment.
  • Focus on interactive, extensible, and reproducible visualization functionalities.

Main Results:

  • Epiviz provides an interactive platform for exploring genomic data.
  • Epivizr enables users to perform iterative analysis combining statistical methods and visualization.
  • The combined platform supports reproducible research workflows in genomics.

Conclusions:

  • Epiviz and Epivizr offer a powerful, integrated solution for genomics data analysis.
  • Iterative use of algorithmic-statistical analysis and interactive visualization improves data interpretation.
  • The tools promote extensibility and reproducibility in the field of genomics.