Arioc
Arioc aligns short DNA sequencing reads to large reference genomes using GPU-accelerated parallel processing to enable high-throughput, accurate mapping for genomic sequencing and downstream analyses such as variant calling.
Key Features:
- GPU Acceleration: Performs list-processing operations on graphics processing units (GPUs) to enable parallel computation.
- Parallel sort and reduction: Uses parallel sort and reduction techniques to identify high-priority genome locations for potential alignments.
- Prioritization of candidate locations: Prioritizes genome locations where high-scoring mappings are likely, narrowing potential alignment sites before detailed comparison.
- High Throughput: Optimized for speed and demonstrates greater throughput across various sensitivity settings for short-read alignment.
- Accuracy and Performance: Shows comparable or superior accuracy on simulated reads and robust performance on human sequencing reads.
Scientific Applications:
- Genomic Sequencing: Aligns reads from high-throughput sequencing technologies to reference genomes.
- Variant Calling: Provides accurate mappings that support identification of genetic variants.
- Comparative Genomics: Enables efficient comparison of genomic data across species or populations through fast alignments.
- Personalized Medicine: Supports analyses of individual genetic profiles by producing high-throughput, accurate alignments needed for tailored medical research.
Methodology:
Performs GPU-based list-processing and parallel sort and reduction to prioritize candidate genome locations where high-scoring mappings are likely, then narrows potential alignment sites before detailed comparisons.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows
- Programming Languages:
- C++
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Wilton R, Budavari T, Langmead B, Wheelan SJ, Salzberg SL, Szalay AS. Arioc: high-throughput read alignment with GPU-accelerated exploration of the seed-and-extend search space. PeerJ. 2015;3:e808. doi:10.7717/peerj.808. PMID:25780763. PMCID:PMC4358639.