Accelerating genome analysis via algorithm-architecture co-design
High-throughput sequencing (HTS) technologies have revolutionized the field of genomics,
enabling rapid and cost-effective genome analysis for various applications. However, the …
enabling rapid and cost-effective genome analysis for various applications. However, the …
Aphmm: Accelerating profile hidden markov models for fast and energy-efficient genome analysis
Profile hidden Markov models (pHMMs) are widely employed in various bioinformatics
applications to identify similarities between biological sequences, such as DNA or protein …
applications to identify similarities between biological sequences, such as DNA or protein …
Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis
Genomic analysis is the study of genes which includes the identification, measurement, or
comparison of genomic features. Genomics research is of great importance to our society …
comparison of genomic features. Genomics research is of great importance to our society …
gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs
B Schmidt, F Kallenborn, A Wichmann… - arxiv preprint arxiv …, 2024 - arxiv.org
The continually increasing volume of DNA sequence data has resulted in a growing demand
for fast implementations of core algorithms. Computation of pairwise alignments between …
for fast implementations of core algorithms. Computation of pairwise alignments between …
[PDF][PDF] A Methodology for Accelerating Variant Calling on GPU
The medical domain is shifting toward a personalized approach to healthcare delivery. To
achieve such a goal, the community requires new high-performance tools to find genetic …
achieve such a goal, the community requires new high-performance tools to find genetic …