Advancements in DNA synthesis and sequencing technologies have enabled the storage of
data on synthetic DNA strands. However, realizing its potential relies on the design of …

This Perspective surveys the critical computational challenges associated with in vitro DNA-
based data storage. As digital data expand exponentially, traditional storage media are …

This study introduces a novel model for analyzing and determining the required sequencing
coverage in DNA-based data storage, focusing on combinatorial DNA encoding. We seek to …

Encoding information in combinations of pre-synthesised deoxyribonucleic acid (DNA)
strands (referred to as motifs) is an interesting approach to DNA storage that could …

DNA emerges as a promising medium for the exponential growth of digital data due to its
density and durability. This study extends recent research by addressing the coverage depth …

We investigate the fundamental limits of the recently proposed random access coverage
depth problem for DNA data storage. Under this paradigm, it is assumed that the user …

DNA storage is a cutting-edge technology that has the potential to store all of the promised
information of the future, which approximately doubles each year, without erasing the …

Effective and reliable data retrieval is critical for the feasibility of DNA storage, and the
development of random access efficiency plays a key role in its practicality and reliability. In …

This work presents a theoretical analysis of the probability of successfully retrieving data
encoded with MDS codes (eg, Reed-Solomon codes) in DNA storage systems. We study this …

We extend the Coupon Collector's Problem (CCP) and present a novel generalized model,
referred as the k-LCCP problem, where one is interested in recovering a bipartite graph with …