The FPGA implementation is based on OpenGL and utilized for long DNA sequences alignment. The SWIFOLD approach for accelerating the SW alignment reached an average of 125 GCUPS. In [41], an ASIC design for traceback recording with penalty scoring is proposed.
Feb 5, 2020 · In this survey, we introduce three main DNA alignment algorithms and FPGA-based implementation of these algorithms to accelerate the DNA alignment.
In this paper, we present two new hardware architectures that implement the Smith–Waterman algorithm for DNA sequence alignment.
Jul 29, 2024 · We describe an FPGA hardware accelerator, called HAVAC, that targets a key bottleneck step (SSV) in the analysis pipeline of the popular pHMM alignment tool, ...
FPGA is demonstrated as a cost-effective, energy-efficient platform for the implementation of sequence alignment algorithms. This study presents a 65,536 × 48 ...
In this paper, we describe FHAST (FPGA Hardware Accelerated Sequencing-matching Tool), a hardware accelerator that acts as a drop-in replacement for short read ...
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Jul 28, 2020 · The main step in constructing the genome is aligning the reads against a reference genome. Numerous accelerators have been proposed to ...
Three main DNA alignment algorithms and FPGA-based implementation of these algorithms to accelerate the DNA alignment process are introduced and compared.
In this context, we present the first open-source FPGA implementation of the popular KSW2z algorithm employed by minimap2. Our design also implements the Z- \ ...
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This paper proposes an FPGA-based hardware accelerator to increase the mapping speed. We apply a data encoding scheme that reduces the genome size by 96%, and ...