Coded Shotgun Sequencing
| Autor: | Aditya Narayan Ravi, Alireza Vahid, Ilan Shomorony |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | IEEE Journal on Selected Areas in Information Theory. 3:147-159 |
| ISSN: | 2641-8770 |
| Popis: | Most DNA sequencing technologies are based on the shotgun paradigm: many short reads are obtained from random unknown locations in the DNA sequence. A fundamental question, studied in arXiv:1203.6233, is what read length and coverage depth (i.e., the total number of reads) are needed to guarantee reliable sequence reconstruction. Motivated by DNA-based storage, we study the coded version of this problem;i.e., the scenario where the DNA molecule being sequenced is a codeword from a predefined codebook. Our main result is an exact characterization of the capacity of the resulting shotgun sequencing channel as a function of the read length and coverage depth. In particular, our results imply that, while in the uncoded case, $O(n)$ reads of length greater than $2\log{n}$ are needed for reliable reconstruction of a length-$n$ binary sequence, in the coded case, only $O(n/\log{n})$ reads of length greater than $\log{n}$ are needed for the capacity to be arbitrarily close to $1$. Comment: 35 pages, 4 figures, 8 appendices |
| Databáze: | OpenAIRE |
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