BIOFunctional

BIOFunctional interprets and visualizes functional analysis of KEGG pathways and Gene Ontologies through interactive network creation and hierarchical classification tracing.


Key Features:

  • Interactive visualization: Creates and explores networks to visualize relationships between groups and ontologies.
  • Hierarchical analysis: Traces ancestral information for KEGG pathways and Gene Ontologies to understand hierarchical classifications.
  • Efficient processing: Employs parallel processing for rapid data analysis, even with large datasets.
  • Data integration: Integrates data manipulation methods and web scraping techniques to extract information from KEGG and QuickGo databases.

Scientific Applications:

  • KEGG pathway analysis: Enables exhaustive exploration of Kyoto Encyclopedia of Genes and Genomes pathways for detailed functional information about biological data.
  • Gene Ontology analysis: Facilitates analysis of gene functions and biological processes through Gene Ontology exploration.
  • Hierarchical classification study: Allows study of datasets at different taxonomic levels directly from raw data by understanding ontology hierarchies.
  • Biological relationship visualization: Visualizes relationships between genes or molecular components within experimental systems through interactive networks.

Methodology:

BIOFunctional uses web scraping techniques to extract information from KEGG and QuickGo databases, with functions computed by parallel processing for efficient database server petitions. Data manipulation methods are integrated with these extraction techniques, and hierarchical relationships are obtained through the same web scraping approaches.

Topics

Details

Programming Languages:
R
Added:
1/15/2026
Last Updated:
1/15/2026

Operations

Publications