Fourier-LSTM on the Edge: Elevating Genome Sequencing Performance on the Portable Devices
Genome sequencing has evolved from Sanger to advanced third-generation technologies, yet challenges such as limited read lengths and high costs remain. This paper introduces Fourier-LSTM, a hardware-efficient block integrating Fourier transformations with Long Short-Term Memory (LSTM) networks. This approach enhances handling long repetitive sequences and structural variations to improve nanopore sequencing accuracy. Notably, deploying Fourier-LSTM on the embedded RK3588 device significantly reduces power consumption and costs, making it ideal for real-time, portable genomic applications.
Authors
- Yupeng Zang (ORCID: https://orcid.org/0000-0002-5098-1172)
- Wenqi Fang (ORCID: https://orcid.org/0000-0003-3347-0511)
- Yongkui Yang (ORCID: https://orcid.org/0000-0003-1159-3115)
- Zhuoyu Wu (ORCID: https://orcid.org/0000-0002-9075-7626)
- Zheng Wang (ORCID: https://orcid.org/0000-0003-2855-9570)
- Bowen Xue
Institutions
- Southern University of Science and Technology (CN)
- Shenzhen Institutes of Advanced Technology (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icta64028.2024.10860364
- Citations
- 1
- Primary Topic
- Nanopore and Nanochannel Transport Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.18