IgSimulator

IgSimulator simulates antibody repertoires and Ig-seq libraries to generate realistic datasets for validating immunoglobulin (Ig) repertoire reconstruction methods.

Key Features:

• Modular Code Structure: A modular codebase enables customization and adaptation of simulation components to specific requirements.
• Simulation of Antibody Repertoires and Ig-seq Libraries: Generates realistic antibody repertoire sequences and Ig-seq library datasets that reflect complexities of immunological data.
• Implementation Languages: Implemented in C++ and Python to provide computational implementations of the simulation functionality.

Scientific Applications:

• Benchmarking Ig-repertoire Reconstruction: Produces datasets used to test and benchmark tools for reconstructing immunoglobulin (Ig) repertoires.
• Generation of Gold-standard-like Datasets: Creates simulated datasets that mimic real-world antibody sequences for rigorous validation of immunoinformatics methods.
• Performance Evaluation of Algorithms: Enables assessment of accuracy and performance of computational methods for antibody sequence analysis.

Methodology:

Creates realistic simulations of antibody repertoires and Ig-seq libraries using a modular code structure that allows tailoring of simulation parameters and dataset composition.