Genpip: In-memory acceleration of genome analysis via tight integration of basecalling and read mapping
Nanopore sequencing is a widely-used high-throughput genome sequencing technology
that can sequence long fragments of a genome into raw electrical signals at low cost …
that can sequence long fragments of a genome into raw electrical signals at low cost …
SieveMem: a computation-in-memory architecture for fast and accurate pre-alignment
T Shahroodi, M Miao, M Zahedi… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
The high execution time of DNA sequence alignment negatively affects many genomic
studies that rely on sequence alignment results. Pre-alignment filtering was introduced as a …
studies that rely on sequence alignment results. Pre-alignment filtering was introduced as a …
Ex-RL: Experience-based reinforcement learning
Reinforcement learning (RL) has achieved significant success across various tasks.
However, generalizing RL for similar tasks remains a challenge. This study leverages …
However, generalizing RL for similar tasks remains a challenge. This study leverages …
RawHash: enabling fast and accurate real-time analysis of raw nanopore signals for large genomes
Nanopore sequencers generate electrical raw signals in real-time while sequencing long
genomic strands. These raw signals can be analyzed as they are generated, providing an …
genomic strands. These raw signals can be analyzed as they are generated, providing an …
Mixflow: Assessing mixnets anonymity with contrastive architectures and semantic network information
R Attarian, E Mohammadi, T Wang… - Cryptology ePrint …, 2023 - eprint.iacr.org
Traffic correlation attacks have illustrated challenges with protecting communication meta-
data, yet short flows as in messaging applications like Signal have been protected by …
data, yet short flows as in messaging applications like Signal have been protected by …
Trellis: A Domain-Specific Language for Hidden Markov Models with Sparse Transitions
L Hummelgren, V Palmkvist, L Stjerna, X Xu… - Proceedings of the 17th …, 2024 - dl.acm.org
Hidden Markov models (HMMs) are frequently used in areas such as speech recognition
and bioinformatics. However, implementing HMM algorithms correctly and efficiently is time …
and bioinformatics. However, implementing HMM algorithms correctly and efficiently is time …
Survey of Hardware Acceleration of Genomic Analysis
As the Next-Generation Sequencing (NGS) techniques need to process enormous amounts
of data, cost-efficient and high-throughput computational analysis is essential in genomics …
of data, cost-efficient and high-throughput computational analysis is essential in genomics …