CABGen: new bioinformatic resources at IGM-CNR. (Abstract/Poster in convegno)

Type
Label
  • CABGen: new bioinformatic resources at IGM-CNR. (Abstract/Poster in convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Bione S, Sacchi G, Cavalli-Sforza LL, Fiorani O, Zei G, Parolo S, Biamonti G, Lisa A. (2011)
    CABGen: new bioinformatic resources at IGM-CNR.
    in Congresso Congiunto DGM-IGM, Pavia, 22-23 febbraio 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bione S, Sacchi G, Cavalli-Sforza LL, Fiorani O, Zei G, Parolo S, Biamonti G, Lisa A. (literal)
Pagina inizio
  • 19 (literal)
Pagina fine
  • 19 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Convegno Congiunto IGM-DGM 2011 Abstract Book (literal)
Note
  • Abstract (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Molecular Genetics, National Research Council, Pavia; Institute of Applied Mathematics and Information Technology, National Research Council, Pavia (literal)
Titolo
  • CABGen: new bioinformatic resources at IGM-CNR. (literal)
Abstract
  • In the \"whole-genome\" era, the amount and the complexity of data produced by different kind of high-throughtput technologies require the to be analyzed by sophisticated bioinformatic approaches. In this regard, the availability of computational resources and expertize is today essential to conduct research in almost all fields of biomedicine and molecular biology. In order to increase our bioinformatic facilities, we recently acquired a high performance multi-core integrated computing cluster. This informatic architecture is suitable for many different applications based on parallel computing and will allow us to develop new research strategies in many topics studied in our institute. In particular, future applications on genome-wide association studies (1), biological network identification and next-generation sequencing (2) will be presented. (1) Bioinformatics challenges for genome-wide association studies. Moore JH, Asselbergs FW, Williams SM. Bioinformatics. 2010, 26:445-455. (2) Next-generation bioinformatics: using many-core processor architecture to develop a web service for sequence alignment. Gálvez S, Díaz D, Hernández P, Esteban FJ, Caballero JA, Dorado G. Bioinformatics. 2010, 26:683-686. (literal)
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