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pro vyhledávání: '"Shadi Alaa Issa"'
Autor:
Shadi Alaa Issa, Romeo Kienzler, Mohamed El-Kalioby, Mohamed Abouelhoda, Rémy Bruggmann, Dennis P. Wall, Peter J. Tonellato
Publikováno v:
BioMed Research International, Vol 2013 (2013)
Issa, Shadi A.; Kienzler, Romeo; El-Kalioby, Mohamed; Tonellato, Peter J.; Wall, Dennis; Bruggmann, Rémy; Abouelhoda, Mohamed (2013). Streaming Support for Data Intensive Cloud-Based Sequence Analysis. BioMed research international, 2013(8), pp. 1-16. Hindawi Publishing Corporation 10.1155/2013/791051
BioMed Research International
Issa, Shadi A.; Kienzler, Romeo; El-Kalioby, Mohamed; Tonellato, Peter J.; Wall, Dennis; Bruggmann, Rémy; Abouelhoda, Mohamed (2013). Streaming Support for Data Intensive Cloud-Based Sequence Analysis. BioMed research international, 2013(8), pp. 1-16. Hindawi Publishing Corporation 10.1155/2013/791051
BioMed Research International
Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS) technology. Based on the concepts of “resources-on-demand” and “pay-as-you-go”, scientists with no
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 13, Iss 1, p 77 (2012)
BMC Bioinformatics, Vol 13, Iss 1, p 77 (2012)
Background Over the past decade the workflow system paradigm has evolved as an efficient and user-friendly approach for developing complex bioinformatics applications. Two popular workflow systems that have gained acceptance by the bioinformatics com