EDBT 2026 Demo / reviewers in the wild / expert
Omer S. Sella
dblp:224/0747
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › storage devices › molecular data storage
DNA storage |
0.9 | 1 | 2025 | DNA data storage: A generative tool for Motif-based DNA storage · FAST 2025 |
Bioinformatics and computational biology
DNA storage |
0.3 | 1 | 2025 | DNA data storage: A generative tool for Motif-based DNA storage · FAST 2025 |
Methods — techniques the papers use, named apart from their topics
generative model · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | DNA data storage: A generative tool for Motif-based DNA storage
Samira Brunmayr, Omer S. Sella, Thomas Heinis |
FAST | 2 |
| 2021 | DNA archival storage, a bottom up approachabstractDNA is an attractive medium for storage of digital data in the cloud, owing to a form factor several orders of magnitude smaller than any other. Key to storing binary data in synthetic in DNA is the translation between the binary representation of digital data to the quaternary domain of DNA. This translation must adhere to constraints imposed by the synthesis and sequencing processes used to write and read respectively. A technological advance in either process changes the constraints and renders current encoding schemes obsolete. In this paper we present a recipe for taking constraints and producing an appropriate encoding scheme. Such a mechanism allows moving the encoding in lockstep with the technological advances in the underlying processes. We further show a method to understand trade-offs in constraints for a given overhead of bits needed to meet such constraints. Omer S. Sella, Amir Apelbaum, Thomas Heinis, Jasmine Quah, Andrew W. Moore 0002 |
HotStorage | 1 |