Gitools

Gitools provides visualization and analysis of multidimensional genomic data using interactive heat-maps to compare conditions and interpret large-scale biological datasets.


Key Features:

  • Interactive heat-map visualization: Generates interactive heat-maps to represent multidimensional genomic datasets for pattern and correlation exploration.
  • Multidimensional data support: Supports analysis of multidimensional genomic data across multiple conditions and genetic profiles.
  • Data import and integration: Implements data import systems to integrate novel data with existing knowledge bases.
  • Database connectivity: Connects with IntOGen, Biomart, KEGG, and Gene Ontology for incorporation of external annotations and pathway and functional information.
  • Comparative analysis: Enables comparison of genomic datasets to identify patterns, correlations, anomalies, trends, and deviations across experimental conditions or genetic profiles.

Scientific Applications:

  • Comparative genomics: Comparing genomic datasets across conditions or genetic profiles using heat-map visualizations.
  • Integration with knowledge bases: Integrating novel experimental data with IntOGen, Biomart, KEGG, and Gene Ontology for annotation and contextual interpretation.
  • Pattern and anomaly discovery: Exploring patterns, correlations, and anomalies in large-scale biological data to identify significant trends or deviations.
  • Pathway and functional interpretation: Supporting pathway and functional analysis through incorporation of KEGG and Gene Ontology annotations.

Methodology:

Imports data from IntOGen, Biomart, KEGG, and Gene Ontology and visualizes multidimensional genomic datasets using interactive heat-maps.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
4/19/2016
Last Updated:
11/24/2024

Operations

Publications

Perez-Llamas C, Lopez-Bigas N. Gitools: Analysis and Visualisation of Genomic Data Using Interactive Heat-Maps. PLoS ONE. 2011;6(5):e19541. doi:10.1371/journal.pone.0019541. PMID:21602921. PMCID:PMC3094337.

Documentation