FPGA-based accelerator for adaptive banded event alignment in nanopore sequencing data analysis
Our work demonstrates that intensive genome analysis can benefit significantly from cutting-edge FPGAs, offering improvements in both performance and energy consumption.
Authors
- Mahmut Kandemir (ORCID: https://orcid.org/0000-0002-9940-9951)
- Chita R. Das (ORCID: https://orcid.org/0000-0002-4746-7578)
- Yilin Feng (ORCID: https://orcid.org/0000-0002-9927-5658)
- Gulsum Gudukbay Akbulut (ORCID: https://orcid.org/0000-0002-1767-2204)
- Zheyu Li (ORCID: https://orcid.org/0009-0005-4117-807X)
- Vijaykrishnan Narayanan (ORCID: https://orcid.org/0000-0001-6266-6068)
Institutions
- Pennsylvania State University (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1186/s12859-024-06011-1
- Citations
- 3
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.42