compSPOT

compSPOT identifies and compares significantly mutated genomic hotspots to establish cancer risk markers.

Key Features:

• Hotspot Identification: Establishes significantly mutated genomic regions with increased sensitivity to acquiring mutations.
• Comparative Analysis: Compares hotspot mutation burden between samples.
• Exploratory Data Analysis: Analyzes correlations between hotspot mutation burden and personal risk factors for cancer, including age, gender, and history of carcinogen exposure.

Scientific Applications:

• Cancer Risk Prediction: Identifies robust genomic markers to help establish cancer risk based on mutation-sensitive genomic regions.
• Prognosis Assessment: Evaluates how the frequency and location of mutations in clonal cell groups may predict prognosis.
• Risk Factor Correlation: Investigates relationships between hotspot mutation burden and carcinogen exposure history.

Methodology:

The package contains multiple functions to establish significantly mutated hotspots, compare hotspot mutation burden between samples, and perform exploratory data analysis of correlations with personal risk factors.