A CUDA-based implementation of the SSAKE Genomics Application (Contributo in atti di convegno)

Type
Label
  • A CUDA-based implementation of the SSAKE Genomics Application (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/PDP.2012.16 (literal)
Alternative label
  • Daniele D'Agostino; Andrea Clematis; Alessandro Guffanti; Luciano Milanesi; Ivan Merelli (2012)
    A CUDA-based implementation of the SSAKE Genomics Application
    in 20th Euromicro Conference on Parallel, Distributed and network-based Processing (Euromicro-PDP'12), Garching, Germany, 15-17 February, 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Daniele D'Agostino; Andrea Clematis; Alessandro Guffanti; Luciano Milanesi; Ivan Merelli (literal)
Pagina inizio
  • 612 (literal)
Pagina fine
  • 616 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • 2012 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing (literal)
Note
  • Scopus (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute for Applied Mathematics and Information Technologies National Research Council of Italy, Genoa, Italy Bioinformatics - Genomnia srl, Lainate (Milan) Institute for Biomedical Technologies, National Research Council of Italy, Segrate (Milan), Italy (literal)
Titolo
  • A CUDA-based implementation of the SSAKE Genomics Application (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-0-7695-4633-9 (literal)
Abstract
  • Present advances in sequencing technology make possible to generate large amounts of data in short time. However one major issue is represented by the fact that fragments produced by these high-throughput methods are short and in very high number, resulting in a difficult analytical task. Two different approaches are currently applied to genome assembly, overlap graph and sequence hashing. In particular SSAKE, one of the first and more popular implementation of the sequence hashing algorithm, was designed to leverage the information from short sequence reads by stringently assembling them into contiguous sequences that can be used to characterize novel sequencing targets. In this paper we present an implementation of this tool for the CUDA architecture. (literal)
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