Efficient real-time selective genome sequencing on resource-constrained devices

PJ Shih, H Saadat, S Parameswaran… - …, 2023 - academic.oup.com
Background Third-generation nanopore sequencers offer selective sequencing or “Read
Until” that allows genomic reads to be analyzed in real time and abandoned halfway if not …

Dash-cam: dynamic approximate search content addressable memory for genome classification

Z Jahshan, I Merlin, E Garzón, L Yavits - … of the 56th Annual IEEE/ACM …, 2023 - dl.acm.org
We propose a novel dynamic storage-based approximate search content addressable
memory (DASH-CAM) for computational genomics applications, particularly for identification …

Accelerating genome analysis via algorithm-architecture co-design

O Mutlu, C Firtina - 2023 60th ACM/IEEE Design Automation …, 2023 - ieeexplore.ieee.org
High-throughput sequencing (HTS) technologies have revolutionized the field of genomics,
enabling rapid and cost-effective genome analysis for various applications. However, the …

[HTML][HTML] Sigmoni: classification of nanopore signal with a compressed pangenome index

VS Shivakumar, OY Ahmed, S Kovaka, M Zakeri… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Improvements in nanopore sequencing necessitate efficient classification methods,
including pre-filtering and adaptive sampling algorithms that enrich for reads of interest …

[HTML][HTML] Uncalled4 improves nanopore DNA and RNA modification detection via fast and accurate signal alignment

S Kovaka, PW Hook, KM Jenike, V Shivakumar… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Nanopore signal analysis enables detection of nucleotide modifications from native DNA
and RNA sequencing, providing both accurate genetic/transcriptomic and epigenetic …

NanoDeep: a deep learning framework for nanopore adaptive sampling on microbial sequencing

Y Lin, Y Zhang, H Sun, H Jiang, X Zhao… - Briefings in …, 2024 - academic.oup.com
Nanopore sequencers can enrich or deplete the targeted DNA molecules in a library by
reversing the voltage across individual nanopores. However, it requires substantial …

Aphmm: Accelerating profile hidden markov models for fast and energy-efficient genome analysis

C Firtina, K Pillai, GS Kalsi, B Suresh, DS Cali… - ACM Transactions on …, 2024 - dl.acm.org
Profile hidden Markov models (pHMMs) are widely employed in various bioinformatics
applications to identify similarities between biological sequences, such as DNA or protein …

RawAlign: Accurate, fast, and scalable raw nanopore signal mapping via combining seeding and alignment

J Lindegger, C Firtina, NM Ghiasi… - arXiv preprint arXiv …, 2023 - arxiv.org
Nanopore-based sequencers generate a series of raw electrical signal measurements that
represent the contents of a biological sequence molecule passing through the sequencer's …

RawHash2: Accurate and fast mapping of raw nanopore signals using a hash-based seeding mechanism

C Firtina, M Soysal, J Lindegger, O Mutlu - arXiv preprint arXiv:2309.05771, 2023 - arxiv.org
Raw nanopore signals can be analyzed while they are being generated, a process known
as real-time analysis. Real-time analysis of raw signals is essential to utilize the unique …

SimReadUntil for benchmarking selective sequencing algorithms on ONT devices

M Mordig, G Rätsch, A Kahles - Bioinformatics, 2024 - academic.oup.com
Abstract Motivation The Oxford Nanopore Technologies (ONT) ReadUntil API enables
selective sequencing, which aims to selectively favor interesting over uninteresting reads …