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

Multi-Sided Compression Performance Assessment of ABI SOLiD WES Data

IRCCS Casa Sollievo della Sofferenza-Mendel Institute, Regina Margherita Avenue, 261, Rome 00198, Italy
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Received: 18 March 2013 / Revised: 23 April 2013 / Accepted: 27 April 2013 / Published: 21 May 2013
(This article belongs to the Special Issue Algorithms for Sequence Analysis and Storage)
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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 data compression; genomics; next-generation sequencing; SOLiD
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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