CUSHAW3

CUSHAW3 aligns short-read next-generation sequencing data in both base-space and color-space to produce sensitive, high-accuracy mappings for analyses of large genomes such as human.

Key Features:

• Hybrid Seeding Approach: CUSHAW3 employs a hybrid seeding strategy combining maximal exact match (MEM) seeds, exact-match k-mer seeds, and variable-length seeds.
• Paired-End Alignment Techniques: It applies a weighted seed-pairing heuristic, paired-end alignment pair ranking, and read mate rescuing to improve paired-end alignment accuracy.
• Space Compatibility: Supports alignment of both base-space and color-space sequencing reads.
• Read Type Support: Handles both single-end and paired-end short reads.
• Robustness and Scalability: Maintains performance on short reads with high error rates and scales to large genomes such as human.

Scientific Applications:

• Base-Space Alignment: In base-space, CUSHAW3 demonstrated improved performance relative to CUSHAW2, BWA-MEM, Bowtie2, and GEM, and can outperform Novoalign for short reads with high error rates.
• Color-Space Alignment: For color-space sequences, CUSHAW3 performs among the top aligners when compared to SHRiMP2 and BFAST.
• Benchmarking: Applied to single-end and paired-end alignment benchmarking on simulated and real reads aligned to the human genome for comparative evaluation.
• Genomic Research: Enables precise read alignment for applications from basic genetic studies to complex disease association analyses.

Methodology:

Hybrid seeding combining maximal exact match seeds, exact-match k-mer seeds, and variable-length seeds; weighted seed-pairing heuristic; paired-end alignment pair ranking; and read mate rescuing.