Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics

Abstract Background Distributed approaches based on the MapReduce programming paradigm have started to be proposed in the Bioinformatics domain, due to the large amount of data produced by the next-generation sequencing techniques. However, the use of MapReduce and related Big Data technologies and...

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Hlavní autoři:	Umberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, Raffaele Giancarlo, Simona E. Rombo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2019-04-01
Edice:	BMC Bioinformatics
Témata:	Distributed computing Apache Spark k-mer counting Performance evaluation
On-line přístup:	http://link.springer.com/article/10.1186/s12859-019-2694-8
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