11 citations · 14 across the 9 of their papers we have counts for
5 papers · 1 filter
Motif Caller: Sequence Reconstruction for Motif-Based DNA Storage
Parv Agarwal, Nimesh Pinnamaneni, Thomas Heinis
DNA data storage is rapidly emerging as a promising solution for long-term data archiving, largely due to its exceptional durability. However, the synthesis of DNA strands remains…
An End-to-End Coding Scheme for DNA-Based Data Storage With Nanopore-Sequenced Reads
Lorenz Welter, Roman Sokolovskii, Thomas Heinis +3
We consider error-correcting coding for deoxyribonucleic acid (DNA)-based storage using nanopore sequencing. We model the DNA storage channel as a sampling noise channel where the…
Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models
Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley +2
Phase imaging is gaining importance due to its applications in fields like biomedical imaging and material characterization. In biomedical applications, it can provide quantitative…
Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage
Roman Sokolovskii, Parv Agarwal, Luis Alberto Croquevielle +2
Encoding information in combinations of pre-synthesised deoxyribonucleic acid (DNA) strands (referred to as motifs) is an interesting approach to DNA storage that could potentially…
Querying in Constant Expected Time with Learned Indexes
Luis Croquevielle, Guang Yang, Liang Liang +2
Learned indexes leverage machine learning models to accelerate query answering in databases, showing impressive practical performance. However, theoretical understanding of these m…