English

SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner

Genomics 2015-06-15 v2

Abstract

To tackle the exponentially increasing throughput of Next-Generation Sequencing (NGS), most of the existing short-read aligners can be configured to favor speed in trade of accuracy and sensitivity. SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously. Compared with widely adopted aligners including BWA, Bowtie2, SeqAlto, GEM and GPU-based aligners including BarraCUDA and CUSHAW, SOAP3-dp is two to tens of times faster, while maintaining the highest sensitivity and lowest false discovery rate (FDR) on Illumina reads with different lengths. Transcending its predecessor SOAP3, which does not allow gapped alignment, SOAP3-dp by default tolerates alignment similarity as low as 60 percent. Real data evaluation using human genome demonstrates SOAP3-dp's power to enable more authentic variants and longer Indels to be discovered. Fosmid sequencing shows a 9.1 percent FDR on newly discovered deletions. SOAP3-dp natively supports BAM file format and provides a scoring scheme same as BWA, which enables it to be integrated into existing analysis pipelines. SOAP3-dp has been deployed on Amazon-EC2, NIH-Biowulf and Tianhe-1A.

Keywords

Cite

@article{arxiv.1302.5507,
  title  = {SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner},
  author = {Ruibang Luo and Thomas Wong and Jianqiao Zhu and Chi-Man Liu and Edward Wu and Lap-Kei Lee and Haoxiang Lin and Wenjuan Zhu and David W. Cheung and Hing-Fung Ting and Siu-Ming Yiu and Chang Yu and Yingrui Li and Ruiqiang Li and Tak-Wah Lam},
  journal= {arXiv preprint arXiv:1302.5507},
  year   = {2015}
}

Comments

21 pages, 6 figures, submitted to PLoS ONE, additional files available at "https://www.dropbox.com/sh/bhclhxpoiubh371/O5CO_CkXQE". Comments most welcome

R2 v1 2026-06-21T23:30:42.133Z