GeneCodeq: quality score compression and improved genotyping using a Bayesian framework.
Identifieur interne : 001238 ( Main/Exploration ); précédent : 001237; suivant : 001239GeneCodeq: quality score compression and improved genotyping using a Bayesian framework.
Auteurs : Daniel L. Greenfield [Royaume-Uni] ; Oliver Stegle [Royaume-Uni] ; Alban Rrustemi [Royaume-Uni]Source :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2016.
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- MESH :
English descriptors
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- MESH :
Abstract
The exponential reduction in cost of genome sequencing has resulted in a rapid growth of genomic data. Most of the entropy of short read data lies not in the sequence of read bases themselves but in their Quality Scores-the confidence measurement that each base has been sequenced correctly. Lossless compression methods are now close to their theoretical limits and hence there is a need for lossy methods that further reduce the complexity of these data without impacting downstream analyses.
DOI: 10.1093/bioinformatics/btw385
PubMed: 27354700
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">The exponential reduction in cost of genome sequencing has resulted in a rapid growth of genomic data. Most of the entropy of short read data lies not in the sequence of read bases themselves but in their Quality Scores-the confidence measurement that each base has been sequenced correctly. Lossless compression methods are now close to their theoretical limits and hence there is a need for lossy methods that further reduce the complexity of these data without impacting downstream analyses.</div>
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