7 papers
FASTR: Reimagining FASTQ via Compact Image-inspired Representation
Adrian Tkachenko, Sepehr Salem, Ayotomiwa Ezekiel Adeniyi +7
Motivation: High-throughput sequencing (HTS) enables population-scale genomics but generates massive datasets, creating bottlenecks in storage, transfer, and analysis. FASTQ, the s…
CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory
William Andrew Simon, Irem Boybat, Riselda Kodra +8
As genome sequencing is finding utility in a wide variety of domains beyond the confines of traditional medical settings, its computational pipeline faces two significant challenge…
MetaTrinity: Enabling Fast Metagenomic Classification via Seed Counting and Edit Distance Approximation
Arvid E. Gollwitzer, Mohammed Alser, Joel Bergtholdt +5
Metagenomics, the study of genome sequences of diverse organisms cohabiting in a shared environment, has experienced significant advancements across various medical and biological…
SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences
Maximilian-David Rumpf, Mohammed Alser, Arvid E. Gollwitzer +5
Computational complexity is a key limitation of genomic analyses. Thus, over the last 30 years, researchers have proposed numerous fast heuristic methods that provide computational…
pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables
João Dinis Ferreira, Gabriel Falcao, Juan Gómez-Luna +8
Data movement between the main memory and the processor is a key contributor to execution time and energy consumption in memory-intensive applications. This data movement bottlenec…
RawAlign: Accurate, Fast, and Scalable Raw Nanopore Signal Mapping via Combining Seeding and Alignment
Joël Lindegger, Can Firtina, Nika Mansouri Ghiasi +3
Nanopore sequencers generate raw electrical signals representing the contents of a biological sequence molecule passing through the nanopore. These signals can be analyzed directly…