Fast noisy long read alignment with multi-level parallelism
Performance evaluations show that ParaHAT got a 10.03x speedup in base-level alignment, with a parallel acceleration ratio and weak scalability metric of 94.61 and 98.98% on 128 nodes, respectively.
Authors
- Yingbo Cui (ORCID: https://orcid.org/0000-0003-4000-4957)
- Yufei Guo (ORCID: https://orcid.org/0000-0001-7002-1710)
- Chenchen Peng
- Tao Tang (ORCID: https://orcid.org/0000-0002-9071-137X)
- Zeyu Xia (ORCID: https://orcid.org/0000-0001-7047-7005)
- Canqun Yang
- Yifei Guo (ORCID: https://orcid.org/0000-0002-0161-8617)
Institutions
- National University of Defense Technology (CN)
- Tianjin haihe hospital (CN)
- National Supercomputing Center of Tianjin (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1186/s12859-025-06129-w
- Citations
- 5
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- National Natural Science Foundation of China
- National University of Defense Technology
- Science and Technology Program of Hunan Province