Intogen

Intogen analyzes somatic mutational data from sequenced tumor exomes to identify cancer genes, cancer drivers, and putative mechanisms of action across tumor types.

Key Features:

• Knowledge Extraction: Systematically extracts insights from large datasets of somatic mutations to reveal patterns relevant to tumorigenesis.
• Cancer Gene Identification: Identifies genes implicated in cancer development by analyzing mutational data.
• Mechanism Elucidation: Pinpoints putative mechanisms of action of cancer-associated genes across diverse tumor types.
• Summarization of Somatic Mutations: Compiles and summarizes somatic mutations, affected genes, and pathways from exome datasets.
• Visualization of Cancer Drivers: Visualizes identified cancer drivers within mutational landscapes.
• Comprehensive Analysis: Performs analysis on a cohort of 4,623 exomes spanning 13 distinct cancer sites to identify and characterize cancer drivers.

Scientific Applications:

• Driver Mutation Identification: Identification of driver mutations across tumor cohorts.
• Comparative Tumor Analysis: Comparative analysis of mutational landscapes across multiple cancer sites.
• Mutation Ranking for Clinical Prioritization: Ranking of mutations to inform clinical decision-making and prioritization.
• Pathway and Mechanism Inference: Inference of affected genes and pathways and their putative mechanisms in tumorigenesis.

Methodology:

Analysis of somatic mutations from exome sequencing; compilation and summarization of mutations, genes, and pathways; identification and visualization of cancer drivers; inference of putative mechanisms across tumor types.