Streamlined Genome Sequence Compression using Distributed Source Coding
We aim at developing a streamlined genome sequence compression algorithm to support alternative miniaturized sequencing devices, which have limited communication, storage, and computation power. Existing techniques that require heavy client (encoder side) cannot be applied. To tackle this challenge,...
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Published in | Cancer informatics Vol. 2014; no. Suppl. 1; pp. 123 - 131 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publishing
01.01.2014
SAGE Publications Libertas Academica |
Subjects | |
Online Access | Get full text |
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Summary: | We aim at developing a streamlined genome sequence compression algorithm to support alternative miniaturized sequencing devices, which have limited communication, storage, and computation power. Existing techniques that require heavy client (encoder side) cannot be applied. To tackle this challenge, we carefully examined distributed source coding theory and developed a customized reference-based genome compression protocol to meet the low-complexity need at the client side. Based on the variation between source and reference, our protocol will pick adaptively either syndrome coding or hash coding to compress subsequences of changing code length. Our experimental results showed promising performance of the proposed method when compared with the state-of-the-art algorithm (GRS). |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1176-9351 1176-9351 |
DOI: | 10.4137/CIN.S13879 |