FPGA-based accelerator for adaptive banded event alignment in nanopore sequencing data analysis.

ABSTRACT:

Background

Adaptive Banded Event Alignment (ABEA) stands as a critical algorithmic component in sequence polishing and DNA methylation detection, employing dynamic programming to align raw Nanopore signal with reference reads. Motivated by the observation that, compared to CPUs and GPUs, cutting-edge FPGAs demonstrate-in certain cases-superior performance at a reduced cost and energy consumption, this paper presents an efficient FPGA-based accelerator for ABEA, leveraging the inherent high parallelism and sequential access pattern within ABEA.

Result

Our proposed FPGA-based ABEA accelerator significantly enhances ABEA performance compared to the original CPU-based implementation in Nanopolish as well as the state-of-art acceleration on GPU and FPGA platforms. Specifically, t

SUBMITTER: Feng Y 

PROVIDER: S-EPMC11917103 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature