An Approach to Parallel Algorithms for Long DNA Sequences Alignment on Manycore Architecture

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• DNA sequencing technologies have advanced rapidly, producing vast amounts of data.
• PacBio sequencing generates long reads, posing storage and analysis challenges.
• Efficient alignment of long DNA sequences is crucial for genomic analysis.

Purpose of the Study:

• To describe techniques and processes for long DNA sequence alignment.
• To address the challenge of aligning large datasets from PacBio sequencing.
• To leverage manycore architecture for efficient sequence alignment.

Main Methods:

• Development of bioinformatic tools for sequence alignment.
• Implementation of alignment techniques on manycore architectures.
• Focus on processing long reads generated by PacBio single molecule real-time sequencing.

Main Results:

• The article details specific techniques for long DNA sequence alignment.
• It demonstrates the application of these techniques using manycore architecture.
• The developed processes are designed to handle the scale of PacBio data.

Conclusions:

• Manycore architecture offers a viable solution for aligning long DNA sequences.
• Efficient bioinformatic tools are essential for managing large-scale sequencing data.
• The described methods facilitate the analysis of PacBio generated long reads.