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GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis., , , , , , , , , and 4 other author(s). ISVLSI, page 283-287. IEEE, (2022)ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis., , , , , , , , , and 3 other author(s). ACM Trans. Archit. Code Optim., 21 (1): 19:1-19:29 (March 2024)AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes., , , , , , , and . CoRR, (2019)GenStore: a high-performance in-storage processing system for genome sequence analysis., , , , , , , , , and 4 other author(s). ASPLOS, page 635-654. ACM, (2022)GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping., , , , , , , , and . MICRO, page 710-726. IEEE, (2022)FastRemap: a tool for quickly remapping reads between genome assemblies., , , , , and . Bioinform., 38 (19): 4633-4635 (2022)Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors., , , , , , , , and . MICRO, page 1437-1452. ACM, (2023)GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis., , , , , , , , , and 6 other author(s). MICRO, page 951-966. IEEE, (2020)Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings., , , , , , , , , and 1 other author(s). MICRO, page 1196-1212. ACM, (2023)MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing., , , , , , , , , and 2 other author(s). ISCA, page 660-677. IEEE, (2024)