http://www.cnr.it/ontology/cnr/individuo/prodotto/ID191035
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
- Pagina fine
- 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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