agriGO

agriGO performs gene ontology (GO) analyses tailored for agricultural research.


Key Features:

  • Expanded Organism and Gene Identifier Support: Supports 38 agricultural species across 274 data types for broad coverage of agricultural gene sets.
  • Flexible User Input: Accepts user-defined reference datasets and annotations for customized analyses.
  • Gene Set Enrichment Strategies: Incorporates Gene Set Enrichment Analysis (GSEA) alongside enrichment approaches for functional interpretation.
  • Integrated Analysis Tools: Provides SEA (Singular Enrichment Analysis), PAGE (Parametric Analysis of Gene set Enrichment), BLAST4ID (transfer of gene identifiers by BLAST), and SEACOMPARE (cross comparison of SEA).
  • Cross-Comparison and Visualization: Enables comparative analysis across multiple datasets and visualization of comparative enrichment results.
  • GO Data Repository: Serves as a repository for GO data with search and download functionality.

Scientific Applications:

  • Functional Annotation: Assigns and interprets GO terms for gene sets derived from high-throughput experiments.
  • Enrichment Analysis: Detects over-represented GO categories using SEA, PAGE, and GSEA methodologies.
  • Comparative Genomics: Facilitates cross-species and cross-dataset comparisons of GO enrichment, including ID transfer via BLAST4ID.
  • Agricultural and Plant Research: Supports studies in plant biology, crop improvement, and sustainable agriculture by enabling cross-species functional exploration.

Methodology:

Performs GO analyses using SEA, PAGE, and GSEA; transfers gene identifiers via BLAST4ID; performs cross-dataset comparison with SEACOMPARE; accepts user-defined reference datasets and annotations and provides GO data search and download.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
PHP
Added:
3/25/2017
Last Updated:
11/25/2024

Operations

Publications

Du Z, Zhou X, Ling Y, Zhang Z, Su Z. agriGO: a GO analysis toolkit for the agricultural community. Nucleic Acids Research. 2010;38(suppl_2):W64-W70. doi:10.1093/nar/gkq310. PMID:20435677. PMCID:PMC2896167.

Documentation