ReSeq

ReSeq: Illumina High-Throughput Sequencing Data Simulator

ReSeq simulates realistic Illumina high-throughput sequencing data by reproducing the k-mer spectrum of original sequences and modeling systematic sequencing errors and coverage distributions.

Key Features:

• k-mer Spectrum Reproduction: Replicates the k-mer spectrum of input sequences to match real sequencing data characteristics.
• Systematic Error Modeling: Incorporates systematic sequencing errors to reflect empirical Illumina error profiles.
• Fragment-Based Coverage Model: Simulates genome-wide read distribution using a fragment-based coverage framework.
• Sampling-Matrix Estimation: Applies sampling-matrix estimates derived from two-dimensional margins to refine data generation.
• Comparative Tool Evaluation: Generates datasets for benchmarking methods including pIRS, NEAT, and ART.

Scientific Applications:

• Bioinformatics Benchmarking: Supports performance evaluation of error correction, genome assembly, and variant calling algorithms using high-fidelity synthetic datasets.

Methodology:

ReSeq models Illumina sequencing by reconstructing empirical k-mer distributions, integrating systematic error patterns, simulating fragment-based read coverage, and applying two-dimensional sampling-matrix estimates to generate synthetic datasets that approximate real sequencing outputs.