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Title: On the number of DNA sequence profiles for practical values of read lengths
Authors: Chang, Zuling
Chrisnata, Johan
Ezerman, Martianus Frederic
Kiah, Han Mao
Keywords: DNA-based Data Storage
Profile Vectors
Issue Date: 2016
Source: Chang, Z., Chrisnata, J., Ezerman, M. F., & Kiah, H. M. (2016). On the number of DNA sequence profiles for practical values of read lengths. 2016 IEEE International Symposium on Information Theory (ISIT), 2654-2658. doi:10.1109/ISIT.2016.7541780
Abstract: A recent study by one of the authors has demonstrated the relevance of profile vectors in DNA-based data storage. We provide exact values and lower bounds on the number of profile vectors for finite values of alphabet size q, read length ℓ, and word length n. Consequently, we demonstrate that for q ≥ 3 and n = q a ℓ, a = o(ℓ), the number of profile vectors is at least q κn for some constant 0 <; κ ≤ 1. In addition to enumeration results, we provide a set of efficient encoding and decoding algorithms for a family of profile vectors.
DOI: 10.1109/ISIT.2016.7541780
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Conference Papers

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