Accelerating DNA Sequence Analysis using Content-Addressable Memory in FPGAs
Author:
Affiliation:
1. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology,Pakistan
2. Birla Institute of Technology and Science (BITS),Pilani,India
3. MD Anderson Cancer Center, The University of Texas,Texas,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10348962/10349089/10349148.pdf?arnumber=10349148
Reference22 articles.
1. Evaluation of next generation sequencing platforms for population targeted sequencing studies
2. A comprehensive catalogue of somatic mutations from a human cancer genome
3. FPGA Acceleration of Sequence Alignment: A Survey;Salamat;arXiv preprint,2020
4. DNA sequence compression using the Burrows-Wheeler Transform
5. Quant-PIM: An Energy-Efficient Processing-in-Memory Accelerator for Layerwise Quantized Neural Networks
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