Fast Nanopore Sequencing Signal Classification Using GPU-Enhanced DTW

EasyChair Preprint 10946

Abstract

Nanopore sequencing has rapidly emerged as a transformative technology in genomics and bioinformatics. Its ability to read long DNA strands in real-time has opened new avenues in fields like genetics, personalized medicine, and environmental science. However, the accurate and rapid classification of the raw electrical signals, known as "squiggles," generated during the sequencing process presents a computational challenge. To address this challenge, researchers have turned to Graphics Processing Units (GPUs) to accelerate the Dynamic Time Warping (DTW) algorithm, a powerful tool for signal classification.

Keyphrases: GPU, Nanopor, accelerate

@booklet{EasyChair:10946,
  author    = {Smith Milson and Mark Anderson},
  title     = {Fast Nanopore Sequencing Signal Classification Using GPU-Enhanced DTW},
  howpublished = {EasyChair Preprint 10946},
  year      = {EasyChair, 2023}}