TY - GEN
T1 - Multi-strand Reconstruction from Substrings
AU - Yehezkeally, Yonatan
AU - Marcovich, Sagi
AU - Yaakobi, Eitan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - The problem of string reconstruction based on its substrings spectrum has received significant attention recently due to its applicability to DNA data storage and sequencing. In contrast to previous works, we consider in this paper a setup of this problem where multiple strings are reconstructed together. Given a multiset S of strings, all their substrings of some fixed length ℓ, defined as the ℓ-profile of S, are received and the goal is to reconstruct all strings in S. A multi-strand ℓ-reconstruction code is a set of multisets such that every element S can be reconstructed from its ℓ-profile. Given the number of strings k and their length n, we first find a lower bound on the value of ℓ necessary for existence of multi-strand ℓ-reconstruction codes with non-vanishing asymptotic rate. We then present two constructions of such codes and show that their rates approach 1 for values of ℓ that asymptotically behave like the lower bound.
AB - The problem of string reconstruction based on its substrings spectrum has received significant attention recently due to its applicability to DNA data storage and sequencing. In contrast to previous works, we consider in this paper a setup of this problem where multiple strings are reconstructed together. Given a multiset S of strings, all their substrings of some fixed length ℓ, defined as the ℓ-profile of S, are received and the goal is to reconstruct all strings in S. A multi-strand ℓ-reconstruction code is a set of multisets such that every element S can be reconstructed from its ℓ-profile. Given the number of strings k and their length n, we first find a lower bound on the value of ℓ necessary for existence of multi-strand ℓ-reconstruction codes with non-vanishing asymptotic rate. We then present two constructions of such codes and show that their rates approach 1 for values of ℓ that asymptotically behave like the lower bound.
UR - http://www.scopus.com/inward/record.url?scp=85123440386&partnerID=8YFLogxK
U2 - 10.1109/ITW48936.2021.9611486
DO - 10.1109/ITW48936.2021.9611486
M3 - Conference contribution
AN - SCOPUS:85123440386
T3 - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
BT - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 2021 IEEE Information Theory Workshop, ITW 2021
Y2 - 17 October 2021 through 21 October 2021
ER -