ERGC: an efficient referential genome compression algorithm

Motivation: Genome sequencing has become faster and more affordable. Consequently, the number of available complete genomic sequences is increasing rapidly. As a result, the cost to store, process, analyze and transmit the data is becoming a bottleneck for research and future medical applications. S...

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Veröffentlicht in:	Bioinformatics Jg. 31; H. 21; S. 3468 - 3475
Hauptverfasser:	Saha, Subrata, Rajasekaran, Sanguthevar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 01.11.2015
Schlagworte:	Algorithms Biological Chromosome Mapping Compressing Data compression Data Compression - methods Databases, Factual Gene sequencing Genome, Human Genomes Genomics - methods High-Throughput Nucleotide Sequencing - methods Humans Information Storage and Retrieval Original Papers Sequence Analysis, DNA - methods Sequencing Stores
ISSN:	1367-4803, 1367-4811, 1367-4811, 1460-2059
Online-Zugang:	Volltext
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