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BSAlign: A Library for Nucleotide Sequence Alignment.

Haojing Shao1, Jue Ruan1

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Genomics, Proteomics & Bioinformatics
|August 29, 2024
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Summary
This summary is machine-generated.

This study introduces BSAlign, an ultra-fast nucleotide sequence alignment tool. It significantly speeds up genomic analysis by combining data structure redesign, increased parallelism, and reduced search space for accurate results.

Keywords:
Banded dynamic programmingEdit distanceF evaluationPairwise alignmentStriped vectorization

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Accurate nucleotide sequence alignment is crucial for genomics research.
  • Classic dynamic programming (DP) algorithms offer optimal results but are computationally expensive for large datasets.
  • Existing acceleration methods focus on data structures, parallelism, or search space reduction individually.

Purpose of the Study:

  • To develop an ultra-fast and accurate nucleotide sequence alignment algorithm.
  • To combine multiple optimization strategies for enhanced performance.
  • To provide a practical tool for large-scale genomic sequence analysis.

Main Methods:

  • Developed the Banded Striped Aligner (BSAlign) library.
  • Integrated novel methods combining data structure redesign (striped SIMD), increased parallelism, and reduced search space (banded DP).
  • Implemented features like active F-loop in striped vectorization and striped move in banded DP.

Main Results:

  • BSAlign achieves ultra-fast alignment speeds while maintaining accuracy.
  • Demonstrated a 2-fold speed-up over other SIMD-based implementations for regular pairwise alignment.
  • Achieved 1.5-fold to 4-fold speed-up for edit distance-based alignment of long reads.

Conclusions:

  • BSAlign effectively combines multiple acceleration perspectives for superior performance.
  • The library offers significant speed improvements for both regular and edit distance pairwise alignments.
  • BSAlign is a valuable tool for accelerating large-scale genomics research.