Large-scale compression of genomic sequence databases with the Burrows-Wheeler transform

Motivation: The Burrows–Wheeler transform (BWT) is the foundation of many algorithms for compression and indexing of text data, but the cost of computing the BWT of very large string collections has prevented these techniques from being widely applied to the large sets of sequences often encountered...

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Veröffentlicht in:	Bioinformatics (Oxford, England) Jg. 28; H. 11; S. 1415 - 1419
Hauptverfasser:	Cox, Anthony J., Bauer, Markus J., Jakobi, Tobias, Rosone, Giovanna
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 01.06.2012
Schlagworte:	Algorithms Biological and medical sciences Computer Simulation Data Compression - methods Databases, Nucleic Acid Escherichia coli - genetics Fundamental and applied biological sciences. Psychology General aspects Genome, Human Genomics - methods Humans Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Sequence Analysis, DNA Database Compression Large scale Burrow Genomics
ISSN:	1367-4803, 1367-4811, 1367-4811
Online-Zugang:	Volltext
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