GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data

N Ahmed, J Lévy, S Ren, H Mushtaq, K Bertels… - BMC …, 2019 - Springer
Background Due the computational complexity of sequence alignment algorithms, various
accelerated solutions have been proposed to speedup this analysis. NVBIO is the only …

Zeta diversity patterns in metabarcoded lotic algal assemblages as a tool for bioassessment

AL Simons, S Theroux, M Osborne… - Ecological …, 2023 - Wiley Online Library
Assessments of the ecological health of algal assemblages in streams typically focus on
measures of their local diversity and classify individuals by morphotaxonomy. Such …

PANDA: Processing in Magnetic Random-Access Memory-Accelerated de Bruijn Graph-Based DNA Assembly

S Angizi, NA Fahmi, D Najafi, W Zhang… - Journal of Low Power …, 2024 - mdpi.com
In this work, we present an efficient Processing in MRAM-Accelerated De Bruijn Graph-
based DNA Assembly platform, named PANDA, based on an optimized and hardware …

Processing-in-memory for data-intensive applications, from device to algorithm

S Angizi - 2021 - search.proquest.com
Over the past decades, the amount of data required to be processed and analyzed by
computing systems has been increasing dramatically to exascale (10 18 bytes/s or ops) …

PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly

S Angizi, NA Fahmi, W Zhang, D Fan - arXiv preprint arXiv:2008.06177, 2020 - arxiv.org
Spurred by widening gap between data processing speed and data communication speed
in Von-Neumann computing architectures, some bioinformatic applications have harnessed …

[PDF][PDF] GPU accelerating distributed succinct de Bruijn graph construction

T Laanti, J Alanko - 2022 - helda.helsinki.fi
Computational biology as a field has evolved over the last 20 years [11], due to the
explosive increase of biological data in terms of volume, velocity and variety that has come …

Hardware/software co-design for data-intensive genomics workloads

L Cadenelli - 2019 - upcommons.upc.edu
Since the last decade, the main components of computer systems have been evolving,
diversifying, to overcome their physical limits and to minimize their energy footprint …