Algorithms 2013, 6(2), 309-318; doi:10.3390/a6020309
Article

Multi-Sided Compression Performance Assessment of ABI SOLiD WES Data

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Received: 18 March 2013; in revised form: 23 April 2013 / Accepted: 27 April 2013 / Published: 21 May 2013
(This article belongs to the Special Issue Algorithms for Sequence Analysis and Storage)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Data storage is a major and growing part of IT budgets for research since manyyears. Especially in biology, the amount of raw data products is growing continuously,and the advent of the so-called "next-generation" sequencers has made things worse.Affordable prices have pushed scientists to massively sequence whole genomes and to screenlarge cohort of patients, thereby producing tons of data as a side effect. The need formaximally fitting data into the available storage volumes has encouraged and welcomednew compression algorithms and tools. We focus here on state-of-the-art compression toolsand measure their compression performance on ABI SOLiD data.
Keywords: data compression; genomics; next-generation sequencing; SOLiD
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MDPI and ACS Style

Mazza, T.; Castellana, S. Multi-Sided Compression Performance Assessment of ABI SOLiD WES Data. Algorithms 2013, 6, 309-318.

AMA Style

Mazza T, Castellana S. Multi-Sided Compression Performance Assessment of ABI SOLiD WES Data. Algorithms. 2013; 6(2):309-318.

Chicago/Turabian Style

Mazza, Tommaso; Castellana, Stefano. 2013. "Multi-Sided Compression Performance Assessment of ABI SOLiD WES Data." Algorithms 6, no. 2: 309-318.

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