Spoa

Spoa implements the partial order alignment (POA) algorithm in C++ to perform SIMD-accelerated alignment of DNA sequences for bioinformatics analyses.

Key Features:

• C++ Implementation: Implemented in C++ for performance-critical sequence alignment computations.
• SIMD Optimization: Utilizes Single Instruction, Multiple Data (SIMD) instructions to process multiple alignment cells in parallel.
• Partial Order Alignment (POA): Uses the partial order alignment algorithm to represent and align sequences that contain insertions and deletions.
• Modular Arithmetic: Employs modular arithmetic to handle large patterns and mitigate precision limitations.
• Multithreading and Parallelism: Optimized for multithreading and parallel execution to utilize multi-core processors.
• Assembly Language Optimization: Incorporates assembly-level optimizations to reduce time and memory overhead.

Scientific Applications:

• DNA Sequence Alignment: Aligning DNA sequences to identify similarities and variations, including insertions and deletions.
• Pattern Matching: Efficient pattern matching within large genomic datasets to detect motifs or mutations.

Methodology:

C++ implementation of the partial order alignment (POA) algorithm with SIMD acceleration, modular arithmetic for large patterns, multithreading/parallel execution, and assembly-level optimizations.