activity
20192025
most citedApollo: A Sequencing-Technology-Independent, Scalable, and Accurate Assembly Polishing Algorithm

65 citations · 376 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

cs.AR2023

Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors

Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi +6

Basecalling, an essential step in many genome analysis studies, relies on large Deep Neural Networks (DNNs) to achieve high accuracy. Unfortunately, these DNNs are computationally…

cs.AR2023

MetaStore: High-Performance Metagenomic Analysis via In-Storage Computing

Nika Mansouri Ghiasi, Mohammad Sadrosadati, Harun Mustafa +9

Metagenomics has led to significant advancements in many fields. Metagenomic analysis commonly involves the key tasks of determining the species present in a sample and their relat…

q-bio.GN2023

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…

cs.AR2023

An In-Memory Architecture for High-Performance Long-Read Pre-Alignment Filtering

Taha Shahroodi, Michael Miao, Joel Lindegger +3

With the recent move towards sequencing of accurate long reads, finding solutions that support efficient analysis of these reads becomes more necessary. The long execution time req…

q-bio.GN2023

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…

q-bio.GN2023★ 2 cited

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…