Toward an Embedded SoC for Mobile DNA Sequencing Applications

The development of small DNA sequencers offers a transformative opportunity for portable genomics. However, current systems lack integrated bioinformatics computing and instead rely on bulky external systems. To address this limitation, we propose an embedded System-on-Chip (SoC) architecture aimed at mobile DNA sequencing applications, representing an initial step towards a fully integrated bioinformatics solution. The proposed heterogeneous SoC leverages the open-source RISC-V architecture and incorporates two specialized bioinformatics accelerators: one for deep learning-based basecalling and the other for sequence alignment. An FPGA-realized basecalling accelerator achieves a nearly 2000× speedup over a standalone RISC-V core and demonstrates 11.5× and 1.2× higher energy efficiency than x86 CPUs and high-end GPUs, respectively, while maintaining an accuracy rate of 83.7%. A separate accelerator optimized for sequence comparison, offers 538× and 357× performance-per-joule boost relative to x86 CPUs and an existing state-of-the-art accelerator, respectively, while far exceeding other platforms. A preliminary ASIC prototype operates at 250 MHz with a power consumption of 34 mW, demonstrating significant potential for the proposed approach. Overall, the proposed SoC architecture presents a compelling first step towards embedded bioinformatics hardware for mobile DNA sequencing.

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Publication Details

Journal
IEEE Transactions on Computational Biology and Bioinformatics
Published
2025-08-26
DOI
https://doi.org/10.1109/tcbbio.2025.3602886
Primary Topic
Embedded Systems Design Techniques
Type
article
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article

Toward an Embedded SoC for Mobile DNA Sequencing Applications

Karim Hammad, Abel Beyene, Zhongpan Wu, Sebastian Magierowski et al.
IEEE Transactions on Computational Biology and Bioinformatics
Embedded Systems Design Techniques
article

Toward an Embedded SoC for Mobile DNA Sequencing Applications

Karim Hammad, Abel Beyene, Zhongpan Wu, Sebastian Magierowski, Ebrahim Ghafar‐Zadeh
article en

Abstract

The development of small DNA sequencers offers a transformative opportunity for portable genomics. However, current systems lack integrated bioinformatics computing and instead rely on bulky external systems. To address this limitation, we propose an embedded System-on-Chip (SoC) architecture aimed at mobile DNA sequencing applications, representing an initial step towards a fully integrated bioinformatics solution. The proposed heterogeneous SoC leverages the open-source RISC-V architecture and incorporates two specialized bioinformatics accelerators: one for deep learning-based basecalling and the other for sequence alignment. An FPGA-realized basecalling accelerator achieves a nearly 2000× speedup over a standalone RISC-V core and demonstrates 11.5× and 1.2× higher energy efficiency than x86 CPUs and high-end GPUs, respectively, while maintaining an accuracy rate of 83.7%. A separate accelerator optimized for sequence comparison, offers 538× and 357× performance-per-joule boost relative to x86 CPUs and an existing state-of-the-art accelerator, respectively, while far exceeding other platforms. A preliminary ASIC prototype operates at 250 MHz with a power consumption of 34 mW, demonstrating significant potential for the proposed approach. Overall, the proposed SoC architecture presents a compelling first step towards embedded bioinformatics hardware for mobile DNA sequencing.

IEEE Transactions on Computational Biology and BioinformaticsVol. 22(6)
York University (CA), Arab Academy for Science, Technology, and Maritime Transport (EG)
Openalex Percentile: Top 76%
Embedded Systems Design Techniques
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Toward an Embedded SoC for Mobile DNA Sequencing Applications — Karim Hammad, Abel Beyene, et al. · IEEE Transactions on Computational Biology and Bioinformatics (2025) | TGRS Research Map | TGRS