OGEE

OGEE provides a curated database of experimentally validated essential and non-essential genes and associated features such as expression profiles, duplication status, conservation across species, evolutionary origins, and roles in embryonic development to support comparative analyses of gene essentiality and its context dependence.

Key Features:

• Data Collection: Compiles experimentally validated essential and non-essential genes with associated gene features including expression profiles, duplication status, conservation across species, evolutionary origins, and embryonic development roles.
• Large-Scale Experiment Integration: Integrates large-scale experimental gene essentiality studies and augments curated datasets with text-mining results.
• Conditional Essentiality Tagging: Tags genes that show variable essentiality across different datasets as conditionally essential to capture environment- and context-dependent essentiality.
• Data Organization: Organizes genes into datasets grouped by source to support comparative and source-specific analyses.
• Analytical Tools: Provides linked analytical tools for comparative analyses of gene essentiality and for comparing features between essential and non-essential genes, with visualization options.

Scientific Applications:

• Functional Genomics: Identifying conditionally essential genes and comparing gene features to inform gene function and regulation studies.
• Evolutionary Biology: Using conservation and evolutionary origin data across species to study evolutionary relationships and the functional importance of genes.
• Developmental Biology: Associating genes involved in embryonic development with developmental processes and potential genetic disorders.

Methodology:

Systematic collection and integration of large-scale experimental data complemented by text-mining.