ngs_simulation

ngs_simulation simulates Illumina sequencing runs to model sequencing errors and assess false positives and false negatives in genomic datasets.

Key Features:

• Simulation of Illumina Runs: Replicates Illumina next-generation DNA sequencing runs to generate simulated sequencing data.
• Visualization of Errors: Generates plots that delineate false positives and false negatives to visualize sequencing error profiles.
• Customizable Parameters: Allows adjustment of simulation parameters to mimic different experimental conditions.

Scientific Applications:

• Validate Analytical Methods: Test and refine computational methods for analyzing large-scale genomic data using simulated Illumina data.
• Optimize Experimental Design: Compare simulated experimental setups to identify conditions that minimize errors or improve detection sensitivity.
• Education and Training: Provide controlled datasets for training researchers on sequencing data characteristics and error interpretation.

Methodology:

Simulates Illumina sequencing runs using adjustable parameters, leverages advanced statistical and computational methods to produce realistic sequencing scenarios, and generates plots of false positives and false negatives.